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9,213,961 | 23 | 24 | 23. The system of claim 18 , wherein the means for receiving the input of the one or more key terms comprises an interface means comprising interactive user controls for inputting the key terms. | 23. The system of claim 18 , wherein the means for receiving the input of the one or more key terms comprises an interface means comprising interactive user controls for inputting the key terms. 24. The system of claim 23 , wherein the interactive user controls are graphical user interface controls displayed to the user on a computer screen. | 0.979507 |
8,762,289 | 20 | 24 | 20. The computer-implemented method of claim 3 , further comprising: receiving a search result from the searcher responsive to the query. | 20. The computer-implemented method of claim 3 , further comprising: receiving a search result from the searcher responsive to the query. 24. The computer-implemented method of claim 20 , wherein said search results are provided as a response via a graphical user interface through which an information seeker interacts with a system to request assistance with a query. | 0.949497 |
5,388,194 | 6 | 7 | 6. A data processing system for generating documents, comprising: a. means for obtaining a code which will be used to mark a document; b. means for obtaining a first text file; c. means for generating a sequence of value based on said marking code; d. means for successively, for each inter-word space in at least a portion of said first text file, determining one of said values according to said sequence of values and changing each said space based on said value to generate space lengths including at least first and second space lengths, said first space length being a longer space than said second, space length; and e. means for producing a second text file representing a marked version of said document. | 6. A data processing system for generating documents, comprising: a. means for obtaining a code which will be used to mark a document; b. means for obtaining a first text file; c. means for generating a sequence of value based on said marking code; d. means for successively, for each inter-word space in at least a portion of said first text file, determining one of said values according to said sequence of values and changing each said space based on said value to generate space lengths including at least first and second space lengths, said first space length being a longer space than said second, space length; and e. means for producing a second text file representing a marked version of said document. 7. Means for generating documents, according to claim 6, wherein said obtaining code means generates a sequence of distinct marking codes; and said means d) includes means for generating third and subsequent marked text files, each said marked text file being marked using a different one of said distinct marking codes. | 0.831401 |
7,958,448 | 59 | 61 | 59. A method of activating a font, comprising: receiving, by a computing system, input requesting activation of a font; determining that the font is not ready for activation; upon determining that the font is not ready for activation, identifying the font in one multi-font suitcase file of a plurality of multi-font suitcase files, each multi-font suitcase file of the plurality including a similarly named version of the font, separating the font from the multi-font suitcase file, and saving the separated font in a font management vault; and activating the font from the font management vault. | 59. A method of activating a font, comprising: receiving, by a computing system, input requesting activation of a font; determining that the font is not ready for activation; upon determining that the font is not ready for activation, identifying the font in one multi-font suitcase file of a plurality of multi-font suitcase files, each multi-font suitcase file of the plurality including a similarly named version of the font, separating the font from the multi-font suitcase file, and saving the separated font in a font management vault; and activating the font from the font management vault. 61. A method of activating a font according to claim 59 , wherein the font is activated as a default font for use in an application program. | 0.941028 |
9,160,852 | 3 | 4 | 3. The method of claim 1 , further comprising: calculating, in real-time during the conversation, an agent emotion score for every second that the agent is speaking; calculating, in real-time during the conversation, a frequency at which calculated agent emotion scores equal or exceed the emotion score threshold during the specified time interval; comparing, in real-time during the conversation, the calculated frequency for the agent to the plurality of specified frequency thresholds; displaying, in real-time on the display screen of the agent station during the conversation, a visual representation corresponding to a highest of the plurality of specified frequency thresholds that is equaled or exceeded by the calculated frequency for the agent. | 3. The method of claim 1 , further comprising: calculating, in real-time during the conversation, an agent emotion score for every second that the agent is speaking; calculating, in real-time during the conversation, a frequency at which calculated agent emotion scores equal or exceed the emotion score threshold during the specified time interval; comparing, in real-time during the conversation, the calculated frequency for the agent to the plurality of specified frequency thresholds; displaying, in real-time on the display screen of the agent station during the conversation, a visual representation corresponding to a highest of the plurality of specified frequency thresholds that is equaled or exceeded by the calculated frequency for the agent. 4. The method of claim 3 , further comprising: storing, in a memory, the calculated agent emotion scores; generating, in real-time during the conversation, an emotion event whenever the calculated frequency, at which calculated agent emotion scores equal or exceed the emotion score threshold value, equals or exceeds one of the plurality of specified frequency thresholds; and storing, in the memory, all generated emotion events for the agent. | 0.884235 |
7,539,616 | 1 | 2 | 1. A method comprising: receiving a speech signal produced by a user; forming adapted means for each of a plurality of mixture components by adapting a background model comprising background means for each of the plurality of mixture components based on the received speech signal; receiving a nominal user identification; determining a similarity score between the received speech signal and a training speech signal provided by the nominal user by determining the sum of functions determined for the plurality of mixture components, wherein each function comprises the product of a posterior probability of a mixture component based on the received speech signal and a difference between an adapted mean and a background mean; and using the similarity score to determine if the received speech signal was produced by the nominal user. | 1. A method comprising: receiving a speech signal produced by a user; forming adapted means for each of a plurality of mixture components by adapting a background model comprising background means for each of the plurality of mixture components based on the received speech signal; receiving a nominal user identification; determining a similarity score between the received speech signal and a training speech signal provided by the nominal user by determining the sum of functions determined for the plurality of mixture components, wherein each function comprises the product of a posterior probability of a mixture component based on the received speech signal and a difference between an adapted mean and a background mean; and using the similarity score to determine if the received speech signal was produced by the nominal user. 2. The method of claim 1 further comprising forming training means for each of the plurality of mixture components by adapting the background model based on a training speech signal from a user. | 0.912058 |
9,953,049 | 1 | 11 | 1. A method, comprising: obtaining data identifying a set of pages to be ranked, wherein each page in the set of pages is connected to at least one other page in the set of pages by a page link; obtaining data identifying a set of n seed pages that each include at least one outgoing link to a page in the set of pages, wherein n is greater than one; accessing respective lengths assigned to one or more of the page links and one or more of the outgoing links; and for each page in the set of pages: identifying a kth-closest seed page to the page according to the respective lengths, wherein k is greater than one and less than n, determining a shortest distance from the kth-closest seed page to the page; and determining a ranking score for the page based on the determined shortest distance, wherein the ranking score is a measure of a relative quality of the page relative to other pages in the set of pages. | 1. A method, comprising: obtaining data identifying a set of pages to be ranked, wherein each page in the set of pages is connected to at least one other page in the set of pages by a page link; obtaining data identifying a set of n seed pages that each include at least one outgoing link to a page in the set of pages, wherein n is greater than one; accessing respective lengths assigned to one or more of the page links and one or more of the outgoing links; and for each page in the set of pages: identifying a kth-closest seed page to the page according to the respective lengths, wherein k is greater than one and less than n, determining a shortest distance from the kth-closest seed page to the page; and determining a ranking score for the page based on the determined shortest distance, wherein the ranking score is a measure of a relative quality of the page relative to other pages in the set of pages. 11. The method of claim 1 , further comprising including each link in a shortest path from the kth-closest seed page to the first web page in a reduced link-graph, wherein the shortest path is a path having the shortest distance from the kth-closest seed page to the first web page. | 0.676606 |
8,521,769 | 1 | 7 | 1. A system comprising: a processor; an associative memory comprising a plurality of data and a plurality of associations among the plurality of data, wherein the plurality of data is collected into associated groups, and wherein the associative memory is configured to be queried based on at least one relationship, selected from a group that includes direct and indirect relationships, among the plurality of data in addition to direct correlations among the plurality of data; an input module configured to receive a value within a first perspective of the associative memory, wherein the first perspective comprises a first choice of context for a group of data within the plurality of data; a query module configured to perform an open query of the associative memory using the value, wherein the query module is further configured to perform the open query within at least one of an insert perspective and a second perspective of the associative memory, wherein the insert perspective comprises a type of perspective which is configured to be fed back into the associative memory, wherein the second perspective comprises a second choice of context for the group of data, and wherein the at least one of the insert perspective and the second perspective has as many or more category associations for the value relative to the first perspective; and a display module configured to display a result of the open query, wherein the display module is further configured to display a list of one or more potential ambiguities that result from the open query wherein a display of the second perspective comprises: a first section comprising a category and the value, a second section comprising attribute cloud values associated with the value, a third section comprising entity values of the value, a fourth section comprising keyword values associated with the value, a fifth section comprising one or more category values of one or more categories associated with the value, a sixth section comprising one or more portions of text or graphics of content associated with the value, and a seventh section comprising entity values similar to the value. | 1. A system comprising: a processor; an associative memory comprising a plurality of data and a plurality of associations among the plurality of data, wherein the plurality of data is collected into associated groups, and wherein the associative memory is configured to be queried based on at least one relationship, selected from a group that includes direct and indirect relationships, among the plurality of data in addition to direct correlations among the plurality of data; an input module configured to receive a value within a first perspective of the associative memory, wherein the first perspective comprises a first choice of context for a group of data within the plurality of data; a query module configured to perform an open query of the associative memory using the value, wherein the query module is further configured to perform the open query within at least one of an insert perspective and a second perspective of the associative memory, wherein the insert perspective comprises a type of perspective which is configured to be fed back into the associative memory, wherein the second perspective comprises a second choice of context for the group of data, and wherein the at least one of the insert perspective and the second perspective has as many or more category associations for the value relative to the first perspective; and a display module configured to display a result of the open query, wherein the display module is further configured to display a list of one or more potential ambiguities that result from the open query wherein a display of the second perspective comprises: a first section comprising a category and the value, a second section comprising attribute cloud values associated with the value, a third section comprising entity values of the value, a fourth section comprising keyword values associated with the value, a fifth section comprising one or more category values of one or more categories associated with the value, a sixth section comprising one or more portions of text or graphics of content associated with the value, and a seventh section comprising entity values similar to the value. 7. The system of claim 1 , wherein the open query is performed using an open attribute query language search. | 0.667683 |
9,264,861 | 14 | 15 | 14. The computer-implemented method of claim 1 further comprising: allocating WiFi bandwidth for the subject location based on the determined label. | 14. The computer-implemented method of claim 1 further comprising: allocating WiFi bandwidth for the subject location based on the determined label. 15. The computer-implemented method of claim 14 , wherein allocating WiFi bandwidth for the subject location includes augmenting or reducing bandwidth based on the determined label. | 0.953399 |
7,526,059 | 18 | 19 | 18. The method according to claim 12 , wherein the method comprises assigning at least one of the memory cells to store a state indicator, and upon making the second assignment, incrementing the state indicator. | 18. The method according to claim 12 , wherein the method comprises assigning at least one of the memory cells to store a state indicator, and upon making the second assignment, incrementing the state indicator. 19. The method according to claim 18 , wherein the method comprises decoding the state indicator so as to identify the groups of the memory cells storing the less significant word and the more significant word in order to read a value of the count code. | 0.91791 |
8,442,828 | 3 | 5 | 3. The natural language understanding system of claim 2 wherein the conditional random field model models relationships between the textual characters and the elements of the semantic frames. | 3. The natural language understanding system of claim 2 wherein the conditional random field model models relationships between the textual characters and the elements of the semantic frames. 5. The natural language understanding system of claim 3 wherein the conditional random field model includes n-gram features indicative of a likelihood of an observed word or number given a state defined by the semantic frames. | 0.939507 |
8,359,309 | 9 | 12 | 9. A system comprising: a storage device encoded with instructions; and data processing apparatus operable to execute the instructions to perform operations comprising: determining, for a plurality of search results responsive to a query, a respective count of times search results in the plurality of search results that refer to documents in a base corpus have been presented, and a respective count of times search results in the plurality of search results that refer to documents in the base corpus have been selected, wherein the respective counts for presentations and selections of search results that refer to documents in the base corpus are for searches initiated by users in a plurality of different countries who employ a specific language; determining, for the plurality of search results responsive to the query, a respective count of times search results in the plurality of search results that refer to documents in a second corpus have been presented, and a respective count of times search results in the plurality of search results that refer to documents in the second corpus have been selected, wherein the respective counts for presentations and selections of search results that refer to documents in the second corpus are for searches initiated by users in the plurality of different countries who employ the specific language; calculating a click through rate of the base corpus for the query based at least in part on the respective counts for the base corpus; calculating a click through rate of the second corpus for the query based at least in part on the respective counts for the second corpus; calculating a measure of relative relevance based at least in part on a ratio of the second corpus click through rate to the base corpus click through rate; and providing the measure of relative relevance to a ranking engine for ranking of search results for a search corresponding to the query; and wherein fewer search results of the plurality refer to documents in the second corpus than to documents in the base corpus. | 9. A system comprising: a storage device encoded with instructions; and data processing apparatus operable to execute the instructions to perform operations comprising: determining, for a plurality of search results responsive to a query, a respective count of times search results in the plurality of search results that refer to documents in a base corpus have been presented, and a respective count of times search results in the plurality of search results that refer to documents in the base corpus have been selected, wherein the respective counts for presentations and selections of search results that refer to documents in the base corpus are for searches initiated by users in a plurality of different countries who employ a specific language; determining, for the plurality of search results responsive to the query, a respective count of times search results in the plurality of search results that refer to documents in a second corpus have been presented, and a respective count of times search results in the plurality of search results that refer to documents in the second corpus have been selected, wherein the respective counts for presentations and selections of search results that refer to documents in the second corpus are for searches initiated by users in the plurality of different countries who employ the specific language; calculating a click through rate of the base corpus for the query based at least in part on the respective counts for the base corpus; calculating a click through rate of the second corpus for the query based at least in part on the respective counts for the second corpus; calculating a measure of relative relevance based at least in part on a ratio of the second corpus click through rate to the base corpus click through rate; and providing the measure of relative relevance to a ranking engine for ranking of search results for a search corresponding to the query; and wherein fewer search results of the plurality refer to documents in the second corpus than to documents in the base corpus. 12. The system of claim 9 wherein the base corpus comprises web pages and wherein the second corpus comprises images. | 0.857664 |
10,048,952 | 1 | 5 | 1. A non-transitory computer readable medium having instructions stored thereon that, when executed by a processor, cause the processor to manage data model evaluation, the managing comprising: receiving a domain-specific language database query expression of a domain-specific language of a data model, the domain-specific language database query expression to be evaluated by an application, the application having been written in a first programming language, wherein the database query expression comprises a formula; providing predefined code in a general-purpose imperative programming language mapped to model expressions in the domain-specific language; dynamically generating new code in the general-purpose imperative programming language by translating the domain-specific language database query expression into the general-purpose imperative programming language based on one or more portions of the predefined code, the new code being compilable; compiling the generated new code, using an optimizing compiler, into a compilation of the general-purpose imperative programming language; making the compilation of the general-purpose imperative programming language available to the application written in the first programming language such that the application evaluates the domain-specific language database query expression by using the compilation of the general-purpose imperative programming language; and executing the compilation of the general-purpose imperative programming language by the processor. | 1. A non-transitory computer readable medium having instructions stored thereon that, when executed by a processor, cause the processor to manage data model evaluation, the managing comprising: receiving a domain-specific language database query expression of a domain-specific language of a data model, the domain-specific language database query expression to be evaluated by an application, the application having been written in a first programming language, wherein the database query expression comprises a formula; providing predefined code in a general-purpose imperative programming language mapped to model expressions in the domain-specific language; dynamically generating new code in the general-purpose imperative programming language by translating the domain-specific language database query expression into the general-purpose imperative programming language based on one or more portions of the predefined code, the new code being compilable; compiling the generated new code, using an optimizing compiler, into a compilation of the general-purpose imperative programming language; making the compilation of the general-purpose imperative programming language available to the application written in the first programming language such that the application evaluates the domain-specific language database query expression by using the compilation of the general-purpose imperative programming language; and executing the compilation of the general-purpose imperative programming language by the processor. 5. The non-transitory computer readable medium of claim 1 , wherein the first programming language is compilable into bytecode and the general-purpose imperative programming language is compilable into machine code. | 0.878118 |
7,526,898 | 14 | 15 | 14. A multiple unit building, comprising; a concrete foundation; a number of residential units constructed above the concrete foundation, the number of units bordering at least a portion of a first atrium on a first level having at least a public portion formed above the concrete foundation, each unit including a semi-public area adjacent to an entrance into the unit and adjacent to the first atrium; a common area for ingress and egress from outside the building connected to the first atrium; and a number of levels including: the first level having a floor forming a lower boundary of the first atrium thereon and a first number of units bordering the first atrium; a second level having a second number of units bordering the first atrium; and a third level having a floor and a third number of units bordering a second atrium, wherein the floor of the third level acts as an upper boundary for the first atrium and a lower boundary for the second atrium; and wherein the concrete foundation is on a first level and the atrium extends upward through a number of levels. | 14. A multiple unit building, comprising; a concrete foundation; a number of residential units constructed above the concrete foundation, the number of units bordering at least a portion of a first atrium on a first level having at least a public portion formed above the concrete foundation, each unit including a semi-public area adjacent to an entrance into the unit and adjacent to the first atrium; a common area for ingress and egress from outside the building connected to the first atrium; and a number of levels including: the first level having a floor forming a lower boundary of the first atrium thereon and a first number of units bordering the first atrium; a second level having a second number of units bordering the first atrium; and a third level having a floor and a third number of units bordering a second atrium, wherein the floor of the third level acts as an upper boundary for the first atrium and a lower boundary for the second atrium; and wherein the concrete foundation is on a first level and the atrium extends upward through a number of levels. 15. The multiple unit building of claim 14 , wherein the common area has an elevator therein for accessing the first atrium from a common entryway located on another of the number of levels of the building. | 0.798039 |
10,042,603 | 14 | 15 | 14. The method of claim 10 , wherein the activating of the rule further comprises: releasing, when a rule release condition is satisfied in a state in which the rule is activated, the activated rule, and providing feedback associated with release information, the feedback including information notifying of the release of the rule. | 14. The method of claim 10 , wherein the activating of the rule further comprises: releasing, when a rule release condition is satisfied in a state in which the rule is activated, the activated rule, and providing feedback associated with release information, the feedback including information notifying of the release of the rule. 15. The method of claim 14 , wherein the feedback associated with the release information comprises at least one of audio feedback, video feedback, or tactile feedback. | 0.955906 |
9,552,809 | 2 | 3 | 2. The method of claim 1 , further comprising: (E) using the third document and the spoken audio stream to train an acoustic model. | 2. The method of claim 1 , further comprising: (E) using the third document and the spoken audio stream to train an acoustic model. 3. The method of claim 2 , wherein (E) comprises: (E) (1) filtering text from the third document by reference to the second document to produce a filtered document in which text filtered from the third document is marked as unreliable; and (E) (2) using the filtered document and the spoken audio stream to train the acoustic model. | 0.835644 |
9,811,519 | 4 | 5 | 4. The method of claim 1 , wherein the learning of the first and second latent variable models is iteratively performed to optimize a loss function. | 4. The method of claim 1 , wherein the learning of the first and second latent variable models is iteratively performed to optimize a loss function. 5. The method of claim 4 , wherein the loss function is a function of a minimum of the difference between the decompositional model and a product of the latent variable models, conditioned by weights that increase the weight some of the state descriptor features, and optionally a function of regularization terms which are each a function of one of the latent variable models. | 0.900212 |
7,900,159 | 14 | 15 | 14. The method of claim 13 , further comprising: creating an instance of a data element for each data element description in said merged set. | 14. The method of claim 13 , further comprising: creating an instance of a data element for each data element description in said merged set. 15. The method of claim 14 , further comprising: creating an instance of a data element group for each group description in said merged set. | 0.958531 |
10,048,992 | 14 | 17 | 14. A computer-readable storage memory device comprising instructions for processing messages using an extended schematized XML protocol, wherein the instructions, when executed, cause a processor to: identify first data to be transmitted to another device, the first data supported by a first version of the XML protocol schema; identify second data to be transmitted to the another device, the second data supported in a second version of the XML protocol schema; and generate a message specifying first data supported by a first version of the XML protocol schema, and comprising an annotation specifying the second data; transmitting the message to a server application, wherein the server application implements the first version of the XML protocol schema and a third version of the XML protocol schema, wherein the third version of the XML protocol schema supports third data, and wherein at least a portion of the second data is the same as at least a portion of the third data; receiving a response to the request message from the server application; identifying returned data in the response, the returned data corresponding to the first data and the portion of the second data that is the same as a portion of the third data. | 14. A computer-readable storage memory device comprising instructions for processing messages using an extended schematized XML protocol, wherein the instructions, when executed, cause a processor to: identify first data to be transmitted to another device, the first data supported by a first version of the XML protocol schema; identify second data to be transmitted to the another device, the second data supported in a second version of the XML protocol schema; and generate a message specifying first data supported by a first version of the XML protocol schema, and comprising an annotation specifying the second data; transmitting the message to a server application, wherein the server application implements the first version of the XML protocol schema and a third version of the XML protocol schema, wherein the third version of the XML protocol schema supports third data, and wherein at least a portion of the second data is the same as at least a portion of the third data; receiving a response to the request message from the server application; identifying returned data in the response, the returned data corresponding to the first data and the portion of the second data that is the same as a portion of the third data. 17. The computer-readable storage memory of claim 14 , wherein the message is a request for synchronization data, and wherein the response is a message that comprises requested synchronization data. | 0.742188 |
10,147,066 | 5 | 7 | 5. The system of claim 1 , wherein the business process modeler device, the execution engine and the business rule monitoring device are provided by at least two different vendors. | 5. The system of claim 1 , wherein the business process modeler device, the execution engine and the business rule monitoring device are provided by at least two different vendors. 7. The system of claim 5 , wherein the BPF further comprises a business model translator configured to translate the business process model when an output of the business process modeler device is incompatible with an input format expected by the execution engine. | 0.944515 |
9,971,804 | 15 | 20 | 15. A computer program product for entity population, the computer program product comprising a non-transitory computer readable storage medium having program code embodied therewith, the program code executable by a processor to: read a plurality of entity population rules, each entity population rule describing a mapping from an input schema to an output schema, the output schema conforming to an entity declaration, the entity declaration describing an entity including at least one nested entity; compile the plurality of entity population rules into at least one executable query, wherein compiling the plurality of entity population rules comprises topologically sorting the entities defined by the plurality of entity population rules based on at least one dependency among the plurality of entity population rules and generating a query by traversing from a leaf to a root of the topologically sorted entities; read a plurality of input records from a first data store, the input records conforming to the input schema; apply a compiled entity resolution rule to the plurality of input records to determine a link between members of the plurality of input records; apply one of the plurality of entity population rules to the plurality of input records to create a plurality of output records complying with the output schema; subsequent to applying one of the plurality of entity population rules, recompile the plurality of entity population rules; and populate an index of nested entities using the at least one executable query, the index complying with an index declaration, the index declaration describing an index of nested entities, and the index including the link. | 15. A computer program product for entity population, the computer program product comprising a non-transitory computer readable storage medium having program code embodied therewith, the program code executable by a processor to: read a plurality of entity population rules, each entity population rule describing a mapping from an input schema to an output schema, the output schema conforming to an entity declaration, the entity declaration describing an entity including at least one nested entity; compile the plurality of entity population rules into at least one executable query, wherein compiling the plurality of entity population rules comprises topologically sorting the entities defined by the plurality of entity population rules based on at least one dependency among the plurality of entity population rules and generating a query by traversing from a leaf to a root of the topologically sorted entities; read a plurality of input records from a first data store, the input records conforming to the input schema; apply a compiled entity resolution rule to the plurality of input records to determine a link between members of the plurality of input records; apply one of the plurality of entity population rules to the plurality of input records to create a plurality of output records complying with the output schema; subsequent to applying one of the plurality of entity population rules, recompile the plurality of entity population rules; and populate an index of nested entities using the at least one executable query, the index complying with an index declaration, the index declaration describing an index of nested entities, and the index including the link. 20. The computer program product of claim 15 , the program code further executable by a processor to compile an entity resolution rule into the compiled entity resolution rule, wherein compiling the entity resolution rule comprises: separating where and check clauses of the entity resolution rule from group and cardinality clauses of the entity resolution rule; using matching conditions of the where clauses to join and select from the output records; incorporating conditions of the check clauses within each matching condition; translating the group and cardinality clauses into a constraint query; and executing the constraint queries. | 0.500779 |
9,141,705 | 2 | 11 | 2. A computer implemented method of refining search results on a mobile device, the method comprising: receiving at the mobile device one or more search terms from a user; transmitting by the mobile device the one or more search terms to a remote device; receiving by the mobile device a search result dataset from the remote device, wherein the search result dataset corresponds to the one or more search terms, and wherein the search result dataset comprises one or more search results; displaying via a user interface of the mobile device at least part of the search result dataset; wherein a first portion of the one or more search results is displayed along a vertical axis of the user interface, and wherein a next portion of the one or more search results is displayed along the vertical axis in response to vertical scrolling by a user, displaying, simultaneously with the search results, a filters selection indicator associated with the horizontal axis; wherein the filter selection indicator indicates when a filter is applied to the search results; wherein a first filter is displayed in response to a first horizontal scrolling by the user, and wherein a second filter is displayed in response to a second horizontal scrolling by the user; in response to detecting a horizontal scrolling by a user of the search results, applying, by the mobile device, the displayed filter to at least one of the one or more search results to generate filtered search results; and displaying the filtered search results along the vertical axis of the user interface. | 2. A computer implemented method of refining search results on a mobile device, the method comprising: receiving at the mobile device one or more search terms from a user; transmitting by the mobile device the one or more search terms to a remote device; receiving by the mobile device a search result dataset from the remote device, wherein the search result dataset corresponds to the one or more search terms, and wherein the search result dataset comprises one or more search results; displaying via a user interface of the mobile device at least part of the search result dataset; wherein a first portion of the one or more search results is displayed along a vertical axis of the user interface, and wherein a next portion of the one or more search results is displayed along the vertical axis in response to vertical scrolling by a user, displaying, simultaneously with the search results, a filters selection indicator associated with the horizontal axis; wherein the filter selection indicator indicates when a filter is applied to the search results; wherein a first filter is displayed in response to a first horizontal scrolling by the user, and wherein a second filter is displayed in response to a second horizontal scrolling by the user; in response to detecting a horizontal scrolling by a user of the search results, applying, by the mobile device, the displayed filter to at least one of the one or more search results to generate filtered search results; and displaying the filtered search results along the vertical axis of the user interface. 11. The method of claim 2 , wherein the filters include a social-network filter to partition the search result dataset based on data from one or more social-network networks. | 0.756983 |
8,098,800 | 6 | 8 | 6. A tangible computer-readable storage medium including embedded instructions, executable by a processor, for: enabling a caller to indicate a selected bulletin board associated with a subscriber telephone number; enabling a caller to select any of a set of options for recording and listening to public messages associated with the selected bulletin board; enabling a caller to select any of a set of options for recording and listening to public comments, wherein a public comment is responsive to a public message; implementing personal identification number code access for a set of options for recording and listening to private messages; enabling a caller, upon presenting an applicable personal identification number, to select an option for recording a private message; enabling a caller, upon presenting an applicable personal identification number, to select an option for listening to a private message; enabling a caller, upon presenting an applicable personal identification number, to select an option for recording a private comment responsive to a recorded private message; enabling a caller, upon presenting an applicable personal identification number, to select an option for listening to a private comment; and recording messages to a tangible storage medium responsive to the caller successfully selecting any option for recording. | 6. A tangible computer-readable storage medium including embedded instructions, executable by a processor, for: enabling a caller to indicate a selected bulletin board associated with a subscriber telephone number; enabling a caller to select any of a set of options for recording and listening to public messages associated with the selected bulletin board; enabling a caller to select any of a set of options for recording and listening to public comments, wherein a public comment is responsive to a public message; implementing personal identification number code access for a set of options for recording and listening to private messages; enabling a caller, upon presenting an applicable personal identification number, to select an option for recording a private message; enabling a caller, upon presenting an applicable personal identification number, to select an option for listening to a private message; enabling a caller, upon presenting an applicable personal identification number, to select an option for recording a private comment responsive to a recorded private message; enabling a caller, upon presenting an applicable personal identification number, to select an option for listening to a private comment; and recording messages to a tangible storage medium responsive to the caller successfully selecting any option for recording. 8. The computer readable medium of claim 6 , wherein the personal identification numbers applicable to the recording private message option and the listening to private comment option are the same. | 0.792632 |
8,180,635 | 1 | 2 | 1. A method for adapting acoustic models in a speech recognition system, the method comprising: estimating noise in a portion of a speech signal; determining a first estimated variance scaling vector using an estimated 2-order polynomial and the noise estimation, wherein the estimated 2-order polynomial represents a priori knowledge of a dependency of a variance scaling vector on noise; determining a second estimated variance scaling vector using statistics from prior portions of the speech signal; determining a variance scaling factor using the first estimated variance scaling vector and the second estimated variance scaling vector; and using the variance scaling factor to adapt an acoustic model. | 1. A method for adapting acoustic models in a speech recognition system, the method comprising: estimating noise in a portion of a speech signal; determining a first estimated variance scaling vector using an estimated 2-order polynomial and the noise estimation, wherein the estimated 2-order polynomial represents a priori knowledge of a dependency of a variance scaling vector on noise; determining a second estimated variance scaling vector using statistics from prior portions of the speech signal; determining a variance scaling factor using the first estimated variance scaling vector and the second estimated variance scaling vector; and using the variance scaling factor to adapt an acoustic model. 2. The method of claim 1 , further comprising selecting an empirically determined weighting factor, wherein the determining a variance scaling factor further comprises using the weighting factor in the determination of the variance scaling factor. | 0.870273 |
8,918,408 | 13 | 15 | 13. A computing machine comprising: a memory for receiving an input string through an input device; a predictive input engine having an input for receiving the input string and an input for receiving an input history, and an output providing a list of candidate strings from the input history that match the input string, wherein the predictive input engine selects matching strings by both recency and frequency, and sorts the selected matching strings by recency and selects dissimilar strings to present at the top of the sorted list of candidate strings; and a selector allowing the user to select a string from the list of candidate strings to provide as an input to an application. | 13. A computing machine comprising: a memory for receiving an input string through an input device; a predictive input engine having an input for receiving the input string and an input for receiving an input history, and an output providing a list of candidate strings from the input history that match the input string, wherein the predictive input engine selects matching strings by both recency and frequency, and sorts the selected matching strings by recency and selects dissimilar strings to present at the top of the sorted list of candidate strings; and a selector allowing the user to select a string from the list of candidate strings to provide as an input to an application. 15. The computing machine of claim 13 , wherein the predictive input engine searches the sorted list of candidate strings to identify a first occurrence of each prefix, places the first occurrence of each prefix in a first list, places any subsequent occurrence of the prefix in a second list, and appends the second list to the end of the first list after completing searching of the sorted list so as to provide the list of candidate strings. | 0.753333 |
10,013,978 | 1 | 10 | 1. A system to optimize processing of sequence dependent operations in a voice activated data packet based computer network environment, comprising: a natural language processor component executed by a data processing system to receive data packets comprising an input audio signal detected by a sensor of a client computing device; the natural language processor component to parse the input audio signal to identify a request and a trigger keyword corresponding to the request; a prediction component to determine a thread based on the trigger keyword and the request, the thread comprising a first action, a second action subsequent to the first action, and a third action subsequent to the second action; the prediction component to provide, to a content selector component of the data processing system, an indication of the third action prior to occurrence of at least one of the first action and the second action; the content selector component to select, based on the third action and the trigger keyword identified by the natural language processor, a content item via a real-time content selection process; an audio signal generator component executed by the data processing system to generate an output signal comprising the content item; and an interface of the data processing system to transmit data packets comprising the output signal generated by the audio signal generator component and cause an audio driver component executed by the client computing device to drive a speaker of the client computing device to generate an acoustic wave corresponding to the output signal prior to occurrence of at least one of the first action and the second action. | 1. A system to optimize processing of sequence dependent operations in a voice activated data packet based computer network environment, comprising: a natural language processor component executed by a data processing system to receive data packets comprising an input audio signal detected by a sensor of a client computing device; the natural language processor component to parse the input audio signal to identify a request and a trigger keyword corresponding to the request; a prediction component to determine a thread based on the trigger keyword and the request, the thread comprising a first action, a second action subsequent to the first action, and a third action subsequent to the second action; the prediction component to provide, to a content selector component of the data processing system, an indication of the third action prior to occurrence of at least one of the first action and the second action; the content selector component to select, based on the third action and the trigger keyword identified by the natural language processor, a content item via a real-time content selection process; an audio signal generator component executed by the data processing system to generate an output signal comprising the content item; and an interface of the data processing system to transmit data packets comprising the output signal generated by the audio signal generator component and cause an audio driver component executed by the client computing device to drive a speaker of the client computing device to generate an acoustic wave corresponding to the output signal prior to occurrence of at least one of the first action and the second action. 10. The system of claim 1 , comprising: a direct action application programming interface of the data processing system to initiate activity corresponding to the third action and to subsequently initiate activity corresponding to the second action. | 0.739496 |
8,069,467 | 11 | 18 | 11. A computerized method which reduces the risk that an online identifier will disclose information about an online user's offline identity, the method comprising: a computer system receiving electronically a question regarding a proposed online identifier, which is a username or an avatar, said question causing an inquiry whether at least a portion of said proposed online identifier's content coincides with a set of the online user's offline identity; and the computer system answering the question to help maintain the privacy of offline identities of online users. | 11. A computerized method which reduces the risk that an online identifier will disclose information about an online user's offline identity, the method comprising: a computer system receiving electronically a question regarding a proposed online identifier, which is a username or an avatar, said question causing an inquiry whether at least a portion of said proposed online identifier's content coincides with a set of the online user's offline identity; and the computer system answering the question to help maintain the privacy of offline identities of online users. 18. The method of claim 11 , wherein the method comprises electronically receiving and answering at least one of the following questions: whether the proposed online identifier refers to your religious or spiritual beliefs, whether the proposed online identifier refers to your political beliefs, whether the proposed online identifier refers to any organization to which you belong or which you support. | 0.614504 |
9,178,901 | 9 | 15 | 9. One or more computer storage media comprising instructions that, when executed by a processor, perform operations comprising: receiving a uniform resource locator (URL) that includes a plurality of tokens, wherein each token comprises one or more characters; determining a similarity measure between a whole or part of the URL and a brand name; determining a domain confidence level for the URL, the domain confidence level indicating a reliability of a domain or a second level domain of the URL based on a ratio of a number of known benign URLs hosted by the domain or the second level domain of the URL compared to a number of known malicious URLs hosted by the domain or the second level domain; applying classification criteria to the similarity measure and the domain confidence level to determine whether a resource located by the URL is a counterfeit resource; and classifying the URL as a malicious URL if the resource located by the URL is the counterfeit resource. | 9. One or more computer storage media comprising instructions that, when executed by a processor, perform operations comprising: receiving a uniform resource locator (URL) that includes a plurality of tokens, wherein each token comprises one or more characters; determining a similarity measure between a whole or part of the URL and a brand name; determining a domain confidence level for the URL, the domain confidence level indicating a reliability of a domain or a second level domain of the URL based on a ratio of a number of known benign URLs hosted by the domain or the second level domain of the URL compared to a number of known malicious URLs hosted by the domain or the second level domain; applying classification criteria to the similarity measure and the domain confidence level to determine whether a resource located by the URL is a counterfeit resource; and classifying the URL as a malicious URL if the resource located by the URL is the counterfeit resource. 15. The one or more computer storage media as recited in claim 9 , wherein the operations further comprise classifying the URL as the malicious URL that targets the brand name. | 0.850085 |
9,734,146 | 12 | 13 | 12. A system for facilitating decision support by determining nomenclature linkages between variables in databases having different ontologies comprising: one or more computer processors; and one or more computer storage media storing computer-useable instructions that, when executed by the one or more processors, implement a method comprising: identifying a first set of documents from a first record system having a first ontology; identifying a second set of documents from a second record system having a second ontology that is different than the first ontology; determining a use-case present in the first and second sets of documents; determining a set of variables relevant to the use-case; receiving from the first set of documents, a first document containing at least one first-document variable from the set of variables; wherein each first-document variable has a first-document value associated with it; receiving from the second set of documents, a second document containing at least one second-document variable from the set of variables; (1) wherein the second-document variable has a second-document value associated with it, and (2) wherein the second-document variable is also contained in the first document; based on the determined use-case and set of variables, generating a classifier; for each first-document variable contained in the first document, applying classifier to transform the first-document value associated with the first-document variable to a categorical datatype; for each second-document variable contained in the second document, applying the classifier to transform the second-document value associated with the second-document variable to a categorical datatype; based on the categorical datatypes of the first document and the categorical datatypes of the second document, generating a set of textmatrices; applying latent semantic analysis to the set of textmatrices to determine a latent semantic space associated with the at least one first-document variable and the at least one second document variable; specifying a threshold of similarity; for a first comparison-variable, from the at least one first-document variables associated with the latent semantic space: determining a measure of similarity to a second-comparison variable from the at least one second-document variables associated with the latent semantic space: performing a comparison of the measure similarity to the threshold; and based on the comparison, determining that the measure similarity satisfies the threshold, associating the first comparison variable with the second comparison variable, and designating the association as a synonymy, wherein the threshold is satisfied if the measure of similarity is greater than the threshold. | 12. A system for facilitating decision support by determining nomenclature linkages between variables in databases having different ontologies comprising: one or more computer processors; and one or more computer storage media storing computer-useable instructions that, when executed by the one or more processors, implement a method comprising: identifying a first set of documents from a first record system having a first ontology; identifying a second set of documents from a second record system having a second ontology that is different than the first ontology; determining a use-case present in the first and second sets of documents; determining a set of variables relevant to the use-case; receiving from the first set of documents, a first document containing at least one first-document variable from the set of variables; wherein each first-document variable has a first-document value associated with it; receiving from the second set of documents, a second document containing at least one second-document variable from the set of variables; (1) wherein the second-document variable has a second-document value associated with it, and (2) wherein the second-document variable is also contained in the first document; based on the determined use-case and set of variables, generating a classifier; for each first-document variable contained in the first document, applying classifier to transform the first-document value associated with the first-document variable to a categorical datatype; for each second-document variable contained in the second document, applying the classifier to transform the second-document value associated with the second-document variable to a categorical datatype; based on the categorical datatypes of the first document and the categorical datatypes of the second document, generating a set of textmatrices; applying latent semantic analysis to the set of textmatrices to determine a latent semantic space associated with the at least one first-document variable and the at least one second document variable; specifying a threshold of similarity; for a first comparison-variable, from the at least one first-document variables associated with the latent semantic space: determining a measure of similarity to a second-comparison variable from the at least one second-document variables associated with the latent semantic space: performing a comparison of the measure similarity to the threshold; and based on the comparison, determining that the measure similarity satisfies the threshold, associating the first comparison variable with the second comparison variable, and designating the association as a synonymy, wherein the threshold is satisfied if the measure of similarity is greater than the threshold. 13. The system of claim 12 , wherein the measure of similarity is determined using Salton's cosine. | 0.777027 |
8,812,321 | 1 | 8 | 1. A method comprising: recognizing, via a processor, received speech with a plurality of domain-specific speech recognizers without knowledge of a domain of the received speech, the plurality of domain-specific speech recognizers comprising two domain-specific speech recognizers from different domains and two domain-specific speech recognizers from a specific domain, wherein each domain-specific speech recognizer of the plurality of domain-specific speech recognizers recognizes the received speech, to yield respective speech recognition outputs; determining a speech recognition confidence score for each of the respective speech recognition outputs; selecting speech recognition candidates from segments of the respective speech recognition outputs based on the speech recognition confidence score for the respective speech recognition outputs; combining, via a machine-learning algorithm, the speech recognition candidates, to yield a combination of the speech recognition candidates; and generating text based on the combination. | 1. A method comprising: recognizing, via a processor, received speech with a plurality of domain-specific speech recognizers without knowledge of a domain of the received speech, the plurality of domain-specific speech recognizers comprising two domain-specific speech recognizers from different domains and two domain-specific speech recognizers from a specific domain, wherein each domain-specific speech recognizer of the plurality of domain-specific speech recognizers recognizes the received speech, to yield respective speech recognition outputs; determining a speech recognition confidence score for each of the respective speech recognition outputs; selecting speech recognition candidates from segments of the respective speech recognition outputs based on the speech recognition confidence score for the respective speech recognition outputs; combining, via a machine-learning algorithm, the speech recognition candidates, to yield a combination of the speech recognition candidates; and generating text based on the combination. 8. The method of claim 1 , further comprising mixing the speech recognition candidates. | 0.943871 |
9,814,879 | 23 | 26 | 23. A method comprising: receiving audio input into a hearing assistance device that is worn by or at least partially implanted in a human recipient and that is operable to stimulate a physiological system of the recipient in accordance with the received audio input, the received audio input representing an audio environment of the recipient; recording by the hearing assistance device data representing the received audio input and specifying times when the hearing assistance device was operating in a stimulation-on mode in which the hearing assistance device was set to stimulate the physiological system of the recipient in accordance with the received audio input; determining based on the recorded data linguistic characteristics of the audio environment, wherein the linguistic characteristics comprise (i) a measure of quantity of speech by the recipient and (ii) a measure of quantity of speech by one or more people other than the recipient; and providing output representing the determined linguistic characteristics. | 23. A method comprising: receiving audio input into a hearing assistance device that is worn by or at least partially implanted in a human recipient and that is operable to stimulate a physiological system of the recipient in accordance with the received audio input, the received audio input representing an audio environment of the recipient; recording by the hearing assistance device data representing the received audio input and specifying times when the hearing assistance device was operating in a stimulation-on mode in which the hearing assistance device was set to stimulate the physiological system of the recipient in accordance with the received audio input; determining based on the recorded data linguistic characteristics of the audio environment, wherein the linguistic characteristics comprise (i) a measure of quantity of speech by the recipient and (ii) a measure of quantity of speech by one or more people other than the recipient; and providing output representing the determined linguistic characteristics. 26. The method of claim 23 , wherein the output associates the determined linguistic characteristics with the specified times when the hearing assistance device was operating in the stimulation-on mode. | 0.828814 |
7,848,928 | 1 | 7 | 1. A method of using a speech focus to allocate speech processing resources in a speech processing system comprising at least one electronic processor, the speech processing system having a plurality of speech-enabled applications that share speech processing resources of the speech processing system, the plurality of speech-enabled applications gaining access to the speech processing resources only after obtaining the speech focus, the method comprising: establishing a waiting queue adapted to order in priority requests from any of the plurality of speech-enabled applications waiting to obtain the speech focus; establishing a default focus receiver to override at least some default speech behavior of the speech processing system; placing the default focus receiver in the waiting queue at a priority level above the default speech behavior, such that when none of the plurality of speech-enabled applications are requesting the speech focus the default focus receiver obtains the speech focus; detecting a speech processing event occurrence requiring an allocation of at least a portion of the shared speech processing resources; if the waiting queue does not include requests from any of the plurality of speech-enabled applications, determining whether the default focus receiver comprises an event handler having override behavior for occurrence of the speech processing event; performing at least one speech processing action in accordance with machine-readable instructions of the event handler if the event handler is determined to have override behavior for occurrence of the speech processing event occurrence; and performing at least one speech processing action in accordance with machine-readable instructions defining the default speech behavior if the event handler is determined not to have override behavior for occurrence of the speech processing event. | 1. A method of using a speech focus to allocate speech processing resources in a speech processing system comprising at least one electronic processor, the speech processing system having a plurality of speech-enabled applications that share speech processing resources of the speech processing system, the plurality of speech-enabled applications gaining access to the speech processing resources only after obtaining the speech focus, the method comprising: establishing a waiting queue adapted to order in priority requests from any of the plurality of speech-enabled applications waiting to obtain the speech focus; establishing a default focus receiver to override at least some default speech behavior of the speech processing system; placing the default focus receiver in the waiting queue at a priority level above the default speech behavior, such that when none of the plurality of speech-enabled applications are requesting the speech focus the default focus receiver obtains the speech focus; detecting a speech processing event occurrence requiring an allocation of at least a portion of the shared speech processing resources; if the waiting queue does not include requests from any of the plurality of speech-enabled applications, determining whether the default focus receiver comprises an event handler having override behavior for occurrence of the speech processing event; performing at least one speech processing action in accordance with machine-readable instructions of the event handler if the event handler is determined to have override behavior for occurrence of the speech processing event occurrence; and performing at least one speech processing action in accordance with machine-readable instructions defining the default speech behavior if the event handler is determined not to have override behavior for occurrence of the speech processing event. 7. The method of claim 1 , wherein the steps of claim 1 are performed by a machine in accordance with at least one computer program having a plurality of code sections that are executable by the machine. | 0.675719 |
9,684,690 | 1 | 8 | 1. A computer-implemented method to search for flights from non-customized search engine interfaces, comprising: receiving, by one or more computing devices, an expressive search query in a search interface, wherein the search interface is not customized for flight search inputs from a user computing device and the search interface is configured to accept a search query that is not flight-related; determining, by the one or more computing devices, that the received search query is a flights-related query based on context in the search query; and in response to determining that the search query is a flights-related query and without further user input, providing, by the one or more computing devices, a flight search interface including a plurality of search dimensions and a plurality of specific flight search results, each dimension associated with an attribute of flight search and each dimension having an associated value, wherein one or more dimension values correspond to values extracted from the search query, wherein each specific flight search result identifies a specific flight responsive to the query, and wherein the plurality of specific flight search results are filtered according to the dimension values. | 1. A computer-implemented method to search for flights from non-customized search engine interfaces, comprising: receiving, by one or more computing devices, an expressive search query in a search interface, wherein the search interface is not customized for flight search inputs from a user computing device and the search interface is configured to accept a search query that is not flight-related; determining, by the one or more computing devices, that the received search query is a flights-related query based on context in the search query; and in response to determining that the search query is a flights-related query and without further user input, providing, by the one or more computing devices, a flight search interface including a plurality of search dimensions and a plurality of specific flight search results, each dimension associated with an attribute of flight search and each dimension having an associated value, wherein one or more dimension values correspond to values extracted from the search query, wherein each specific flight search result identifies a specific flight responsive to the query, and wherein the plurality of specific flight search results are filtered according to the dimension values. 8. The computer-implemented method of claim 1 , wherein the portion includes an interactive map and wherein the user can modify an origin or destination value through a map input. | 0.833333 |
9,552,395 | 2 | 3 | 2. The method of claim 1 , further comprising: ranking the matching media content items based at least in part on the associated popularity information; and selecting a subset of the matching media content items based on the ranking. | 2. The method of claim 1 , further comprising: ranking the matching media content items based at least in part on the associated popularity information; and selecting a subset of the matching media content items based on the ranking. 3. The method of claim 2 , wherein the recommendation interface includes the subset of the matching media content items and wherein each of the media content items in the subset of the matching media content items is selectable by the user. | 0.950638 |
8,374,865 | 1 | 11 | 1. A method comprising: classifying, at a computing system, a set of benchmark text strings to provide a set of benchmark classifications, wherein the benchmark text strings correspond to a benchmark corpus of benchmark utterances; determining a respective classification for multiple text strings in a corpus of text strings; sampling text strings from the corpus of text strings to form a training corpus of training text strings, such that particular classifications of the sampled text strings occur in proportion to occurrences of the particular classifications for the benchmark text strings; and training an automatic speech recognition (ASR) system with the training corpus of training text strings. | 1. A method comprising: classifying, at a computing system, a set of benchmark text strings to provide a set of benchmark classifications, wherein the benchmark text strings correspond to a benchmark corpus of benchmark utterances; determining a respective classification for multiple text strings in a corpus of text strings; sampling text strings from the corpus of text strings to form a training corpus of training text strings, such that particular classifications of the sampled text strings occur in proportion to occurrences of the particular classifications for the benchmark text strings; and training an automatic speech recognition (ASR) system with the training corpus of training text strings. 11. The method of claim 1 , wherein training the ASR system comprises: training a language model of the ASR system with a combination of the training corpus of training text strings and an additional corpus of text strings that were transcribed from utterances made by users of the ASR system. | 0.716085 |
9,812,122 | 14 | 15 | 14. A computer system for constructing a speech recognition model, comprising: a processor and a memory coupled to the processor; an alignment acquisition section adapted to acquire alignment between speech of each of a plurality of speakers and a transcript of the speaker; a speech synthesizing section adapted to combine the speech of the speakers and thereby generate speech of mixed speakers; a transcription section adapted to automatically join the transcripts of the respective ones of the plurality of speakers along a time axis, create a transcript of speech of the mixed speakers, and replace predetermined transcribed portions overlapping among plural speakers on the time axis with a unit which represents a simultaneous speech segment using the processor and the memory; a language model construction section adapted to construct a language model making up a speech recognition model; and an acoustic model construction section adapted to construct an acoustic model making up the speech recognition model, based on the speech of the mixed speakers as well as on the transcript of the speech of the mixed speakers. | 14. A computer system for constructing a speech recognition model, comprising: a processor and a memory coupled to the processor; an alignment acquisition section adapted to acquire alignment between speech of each of a plurality of speakers and a transcript of the speaker; a speech synthesizing section adapted to combine the speech of the speakers and thereby generate speech of mixed speakers; a transcription section adapted to automatically join the transcripts of the respective ones of the plurality of speakers along a time axis, create a transcript of speech of the mixed speakers, and replace predetermined transcribed portions overlapping among plural speakers on the time axis with a unit which represents a simultaneous speech segment using the processor and the memory; a language model construction section adapted to construct a language model making up a speech recognition model; and an acoustic model construction section adapted to construct an acoustic model making up the speech recognition model, based on the speech of the mixed speakers as well as on the transcript of the speech of the mixed speakers. 15. The computer system according to claim 14 , wherein the acoustic model construction section defines an acoustic unit associated with a unit which represents the simultaneous speech segment and configured to represent the simultaneous speech segment and constructs the acoustic model which makes up the speech recognition model while training an acoustic model containing at least the acoustic unit. | 0.510949 |
7,519,590 | 28 | 29 | 28. The system of claim 27 , further comprising a communication network in communication with said computer, wherein said communication network delivers said query to said computer. | 28. The system of claim 27 , further comprising a communication network in communication with said computer, wherein said communication network delivers said query to said computer. 29. The system of claim 28 , wherein said communication network is the Internet. | 0.944521 |
7,523,261 | 26 | 31 | 26. A circuit arrangement for processing a succession of machine words in an arithmetic and logic unit, the circuit arrangement comprising: a first memory having a plurality of memory locations with respective associated virtual addresses, the first memory being designed to store a set of machine words, with each machine word being able to be stored at one of the memory locations; an association unit for storing an association between the virtual addresses and the memory locations; a second memory for storing a succession of instruction words which prescribes a succession of machine words which are to be processed in the arithmetic and logic unit; and a buffer store having buffer-store locations for buffer-storing machine words, wherein the arithmetic and logic unit for processing the succession of machine words is coupled to the first memory, the second memory, the buffer store, and the association unit, and is designed to load a machine word which is to be processed from the buffer store if the machine word is available there or to load the machine word from the first memory and to store the machine word at one of the buffer-store locations in the buffer store, and wherein the circuit arrangement alters the association between at least one portion of the set of machine words and at least one portion of the set of address words and changes the succession of instruction words, so that the accordingly prescribed succession of machine words which are to be processed is unaltered. | 26. A circuit arrangement for processing a succession of machine words in an arithmetic and logic unit, the circuit arrangement comprising: a first memory having a plurality of memory locations with respective associated virtual addresses, the first memory being designed to store a set of machine words, with each machine word being able to be stored at one of the memory locations; an association unit for storing an association between the virtual addresses and the memory locations; a second memory for storing a succession of instruction words which prescribes a succession of machine words which are to be processed in the arithmetic and logic unit; and a buffer store having buffer-store locations for buffer-storing machine words, wherein the arithmetic and logic unit for processing the succession of machine words is coupled to the first memory, the second memory, the buffer store, and the association unit, and is designed to load a machine word which is to be processed from the buffer store if the machine word is available there or to load the machine word from the first memory and to store the machine word at one of the buffer-store locations in the buffer store, and wherein the circuit arrangement alters the association between at least one portion of the set of machine words and at least one portion of the set of address words and changes the succession of instruction words, so that the accordingly prescribed succession of machine words which are to be processed is unaltered. 31. The circuit arrangement as claimed in claim 26 , wherein the succession of instruction words comprises instruction words from a set of instruction words, wherein each instruction word in the set of instruction words has an associated table entry, wherein the set of instruction words comprises a first instruction word, which is associated with the first table entry, and a second instruction word, which is associated with the second table entry, and wherein the circuit arrangement is designed to replace the second instruction words in the succession of instruction words with the respective first instructions word and/or to replace the first instruction words in the succession of instruction words with the respective second instruction words. | 0.500663 |
8,090,725 | 10 | 11 | 10. The method of comparing a plurality of resumes described in claim 9 , wherein the multi-word attribute array includes information regarding the number of times each of the groups of words in the multi-word attribute array occurs within the first resume and information indicative of the band in which each of the groups of words was first found. | 10. The method of comparing a plurality of resumes described in claim 9 , wherein the multi-word attribute array includes information regarding the number of times each of the groups of words in the multi-word attribute array occurs within the first resume and information indicative of the band in which each of the groups of words was first found. 11. The method for comparing a plurality of resumes described in claim 10 , wherein the step of generating the multi-word attributes includes removing spam terms from the multi-word buffer. | 0.969885 |
6,108,004 | 1 | 7 | 1. A computer-based graphical user interface used to develop an executable data mining profile comprising: a main menu interface listing data mining object types and sub-objects of each type, said data mining object types comprising one or more from the group of: data, discretization, mining, name mapping, processing, results, sequence, statistics and taxonomy; a dynamic series of context sensitive GUI templates, the selection of subsequent context sensitive templates based on one or more inputs to one or more proceeding GUI templates, said GUI templates extracting data object mining parameters from a user for one of said data mining object types, said data mining sub-object created by traversal of said series of GUI templates; and a sequence container retaining one or more a sequence data mining objects linking selected ones of said created sub-objects to create an executable data mining profile, said executable data mining profile comprising sequences of settings that run consecutively, said settings including one or more of processing, mining, sequence or statistics. | 1. A computer-based graphical user interface used to develop an executable data mining profile comprising: a main menu interface listing data mining object types and sub-objects of each type, said data mining object types comprising one or more from the group of: data, discretization, mining, name mapping, processing, results, sequence, statistics and taxonomy; a dynamic series of context sensitive GUI templates, the selection of subsequent context sensitive templates based on one or more inputs to one or more proceeding GUI templates, said GUI templates extracting data object mining parameters from a user for one of said data mining object types, said data mining sub-object created by traversal of said series of GUI templates; and a sequence container retaining one or more a sequence data mining objects linking selected ones of said created sub-objects to create an executable data mining profile, said executable data mining profile comprising sequences of settings that run consecutively, said settings including one or more of processing, mining, sequence or statistics. 7. A computer-based graphical user interface used to develop a data mining profile as per claim 1, wherein said executable objects create output objects. | 0.81872 |
5,524,065 | 1 | 6 | 1. Pattern recognition apparatus which provides an identity for an unknown pattern, said apparatus comprising: pattern recognition means for providing plural candidates for the unknown pattern, each of the plural candidates being based on a different one of respectively different distance functions; comparing means for comparing said plural candidates so as to determine whether or not said plural candidates are comparable, and for outputting one of said plural candidates as the identity of the unknown pattern in a case where said comparing means determines that said plural candidates are comparable; and detail processing means for performing detail processing to determine the identity of the unknown pattern, said detail processing means being selectably operable so as to determine the identity of the unknown pattern in accordance with a determination by said comparing means that said plural candidates are not comparable. | 1. Pattern recognition apparatus which provides an identity for an unknown pattern, said apparatus comprising: pattern recognition means for providing plural candidates for the unknown pattern, each of the plural candidates being based on a different one of respectively different distance functions; comparing means for comparing said plural candidates so as to determine whether or not said plural candidates are comparable, and for outputting one of said plural candidates as the identity of the unknown pattern in a case where said comparing means determines that said plural candidates are comparable; and detail processing means for performing detail processing to determine the identity of the unknown pattern, said detail processing means being selectably operable so as to determine the identity of the unknown pattern in accordance with a determination by said comparing means that said plural candidates are not comparable. 6. Apparatus according to claim 1, wherein said pattern recognition means includes classification means for providing the plural candidates in a case where the candidates are closer than a predetermined level from a known pattern. | 0.822257 |
7,890,937 | 1 | 3 | 1. A data processing system comprising: first file conversion means for converting a set of file formats into an extended markup language format; a software development tool; and a workflow processing system; wherein the software development tool comprises second file conversion means for rendering the extended markup language format into a unified modeling language format, means for graphic modification of the rendered file, third file conversion means for converting the unified modeling language format to the extended markup language format, and means for deploying an extended markup language format converted file to the workflow processing system. | 1. A data processing system comprising: first file conversion means for converting a set of file formats into an extended markup language format; a software development tool; and a workflow processing system; wherein the software development tool comprises second file conversion means for rendering the extended markup language format into a unified modeling language format, means for graphic modification of the rendered file, third file conversion means for converting the unified modeling language format to the extended markup language format, and means for deploying an extended markup language format converted file to the workflow processing system. 3. The data processing system of claim 1 , further comprising fourth file conversion means for converting the extended markup language format into a selected file format of the set of file formats. | 0.766588 |
9,127,950 | 11 | 14 | 11. The method of claim 1 , wherein the amplitude of at least one kernel model is based on one or more attributes of the landmark associated with the kernel model. | 11. The method of claim 1 , wherein the amplitude of at least one kernel model is based on one or more attributes of the landmark associated with the kernel model. 14. The method of claim 11 , wherein the amplitude of the kernel model is based on reviews associated with the associated landmark. | 0.953114 |
7,933,843 | 1 | 6 | 1. A computer-implemented method for a highly automated media analysis of influencer networks, comprising: defining, by an application of a computerized selection process of a computer that considers user-entered criteria, one or more scopes of media content to be included in an analysis project; retrieving, by the computer, relevant media content from a plurality of providers as defined by the one or more scopes of the analysis project, the media content including published text articles and a body of text for each of the text articles; extracting, by an application of an automatic computerized, linguistic-based and statistically-supported entity extraction process, entities from the text articles, the entities being data including names of people, organizations, locations, and brands recited in the body of text of the text articles in the retrieved media content; manually associating, selectively and with the aid of the computer, for each of the entities, a functional role of each of the entities for each text article of the retrieved media content; manually associating, selectively and with the aid of the computer, for each of the entities, a favorability score for each of the entities for each text article of the received media content; storing the entities in a relational database, where the entities that are co-cited in a body of text of the text articles are linked to each other for an associated text article; performing, by the computer, a first computation characterizing a network of influence relationships between each of the entities and each text article of the retrieved media content based on the extracted information and the manually associated functional role and favorability of each of the entities; and performing, by the computer, a second computation characterizing connection properties of individual entities with respect to the other entities; performing, by the computer, a third computation characterizing connection properties of at least a portion of the overall network of influence, the third computation to include a value for the network's cohesion property and density property; and outputting a result of the first, second, and third computations to produce a graphical, interactive representation of the network of influence in which a user may select individual entities to examine their associated connection properties, link to other documents, and link to web pages related to the entities, and combinations thereof. | 1. A computer-implemented method for a highly automated media analysis of influencer networks, comprising: defining, by an application of a computerized selection process of a computer that considers user-entered criteria, one or more scopes of media content to be included in an analysis project; retrieving, by the computer, relevant media content from a plurality of providers as defined by the one or more scopes of the analysis project, the media content including published text articles and a body of text for each of the text articles; extracting, by an application of an automatic computerized, linguistic-based and statistically-supported entity extraction process, entities from the text articles, the entities being data including names of people, organizations, locations, and brands recited in the body of text of the text articles in the retrieved media content; manually associating, selectively and with the aid of the computer, for each of the entities, a functional role of each of the entities for each text article of the retrieved media content; manually associating, selectively and with the aid of the computer, for each of the entities, a favorability score for each of the entities for each text article of the received media content; storing the entities in a relational database, where the entities that are co-cited in a body of text of the text articles are linked to each other for an associated text article; performing, by the computer, a first computation characterizing a network of influence relationships between each of the entities and each text article of the retrieved media content based on the extracted information and the manually associated functional role and favorability of each of the entities; and performing, by the computer, a second computation characterizing connection properties of individual entities with respect to the other entities; performing, by the computer, a third computation characterizing connection properties of at least a portion of the overall network of influence, the third computation to include a value for the network's cohesion property and density property; and outputting a result of the first, second, and third computations to produce a graphical, interactive representation of the network of influence in which a user may select individual entities to examine their associated connection properties, link to other documents, and link to web pages related to the entities, and combinations thereof. 6. The computer-implemented method of claim 1 , wherein the favorability score associated with each of the entities for each text article of the retrieved media content is determined independently for each text article. | 0.807557 |
9,710,471 | 1 | 7 | 1. A contents management method for a media management apparatus, the method comprising: displaying at least one first graphical user interface object representing an external device connected to the media management apparatus and second graphical user interface objects representing contents stored in the connected external device; receiving a selection of a first or second graphical user interface object of the displayed first and second graphical user interface objects; detecting an input drag of the selected graphical user interface object; filtering, in response to detecting the input drag, the displayed first and second graphical user interface objects based on one or more attributes associated with the dragged graphical user interface object; and displaying, in response to filtering the displayed first and second graphical user interface objects, a filtered set of graphical user interface objects, wherein displaying the filtered set of graphical user interface objects comprises: detecting a drag of a search object comprising a keyword to an area where the first and second graphical user interface objects are displayed; checking metadata associated with the first and second graphical user interface objects displayed in proximity to the search object; and sticking, to the search object, graphical user interface objects comprising metadata comprising the keyword. | 1. A contents management method for a media management apparatus, the method comprising: displaying at least one first graphical user interface object representing an external device connected to the media management apparatus and second graphical user interface objects representing contents stored in the connected external device; receiving a selection of a first or second graphical user interface object of the displayed first and second graphical user interface objects; detecting an input drag of the selected graphical user interface object; filtering, in response to detecting the input drag, the displayed first and second graphical user interface objects based on one or more attributes associated with the dragged graphical user interface object; and displaying, in response to filtering the displayed first and second graphical user interface objects, a filtered set of graphical user interface objects, wherein displaying the filtered set of graphical user interface objects comprises: detecting a drag of a search object comprising a keyword to an area where the first and second graphical user interface objects are displayed; checking metadata associated with the first and second graphical user interface objects displayed in proximity to the search object; and sticking, to the search object, graphical user interface objects comprising metadata comprising the keyword. 7. The contents management method of claim 1 , further comprising: detecting a wag of the search object; and separating, in response to detecting the wag of the search object, at least one of the stuck graphical user interface objects representing content of relatively lower priority among the graphical user interface objects stuck to the search object. | 0.774746 |
8,041,574 | 1 | 2 | 1. A dialog apparatus comprising: a dialog unit configured to perform a dialog with a user and to collect a plurality of items to be referred to in accordance with the dialog as the dialog continues; a dividing unit configured to divide the items into normal items related to any usable application and unusable items related to any unusable application; a managing unit configured to manage the normal items and the unusable items which the dialog unit refers to during the dialog with the user; a detecting unit configured to detect whether or not one of the normal items managed by the managing unit is changed to be unusable, and to change the one of the normal items into an unusable item; and a referring unit configured to refer to the managing unit in accordance with the items collected by the dialog unit and to determine to output a use-disapproval notice when it is determined that the collected items include at least one unusable item related to an unusable application, wherein the dialog unit outputs the use-disapproval notice based on a result determined by the referring unit. | 1. A dialog apparatus comprising: a dialog unit configured to perform a dialog with a user and to collect a plurality of items to be referred to in accordance with the dialog as the dialog continues; a dividing unit configured to divide the items into normal items related to any usable application and unusable items related to any unusable application; a managing unit configured to manage the normal items and the unusable items which the dialog unit refers to during the dialog with the user; a detecting unit configured to detect whether or not one of the normal items managed by the managing unit is changed to be unusable, and to change the one of the normal items into an unusable item; and a referring unit configured to refer to the managing unit in accordance with the items collected by the dialog unit and to determine to output a use-disapproval notice when it is determined that the collected items include at least one unusable item related to an unusable application, wherein the dialog unit outputs the use-disapproval notice based on a result determined by the referring unit. 2. The apparatus according to claim 1 , wherein the detecting unit manages a configuration of applications designated during the dialog with the user and the changed one of the managed items results from a change in the configuration of the applications. | 0.704651 |
8,131,552 | 10 | 11 | 10. The computing device of claim 9 , further comprising: a seventh module configured to segment the audio components, the visual components, and the text components of the multimedia data stream based on semantic differences, wherein frame level features are extracted from the audio component in a plurality of subbands. | 10. The computing device of claim 9 , further comprising: a seventh module configured to segment the audio components, the visual components, and the text components of the multimedia data stream based on semantic differences, wherein frame level features are extracted from the audio component in a plurality of subbands. 11. The computing device of claim 10 , further comprising: an eighth module configured to identify at least one target speaker using the audio components and the visual components. | 0.92456 |
9,789,605 | 8 | 12 | 8. A robot, comprising: an actuator configured to perform robot actions for robotic tasks; a sensor configured to detect an environmental context of the robot and generate sensory-data inputs; and a processor apparatus configured to: define a policy comprising a plurality of parameters configured to determine robot actions based at least in part on sensory-data inputs; determine that a user input was received at an input time corresponding to a performance of a first robot action corresponding to a detection of a first sensory-data input; generate a corrective command at least partially derived from the user input, the user input being indicative of at least partial dissatisfaction with the first robot action, and modify the policy based on the corrective command and the first sensory-data input. | 8. A robot, comprising: an actuator configured to perform robot actions for robotic tasks; a sensor configured to detect an environmental context of the robot and generate sensory-data inputs; and a processor apparatus configured to: define a policy comprising a plurality of parameters configured to determine robot actions based at least in part on sensory-data inputs; determine that a user input was received at an input time corresponding to a performance of a first robot action corresponding to a detection of a first sensory-data input; generate a corrective command at least partially derived from the user input, the user input being indicative of at least partial dissatisfaction with the first robot action, and modify the policy based on the corrective command and the first sensory-data input. 12. The robot of claim 8 , wherein the processor apparatus is further configured to determine a first context-variable value for a context variable, wherein the first context-variable value is determined from the first sensory-data input and the policy is further determined based at least in part on the context variable. | 0.779452 |
8,135,787 | 4 | 6 | 4. A method of monitoring messages in a communications network to avoid sending a message to an unintended recipient, the method comprising: a data processing system identifying, via a topic recognition engine, topics associated with respective first and second instant messaging (IM) sessions; the data processing system determining whether a first message in the first IM session is associated with a first pre-defined topic, whether the first pre-defined topic matches a topic identified as being associated with the first IM session, and whether the first pre-defined topic matches a topic identified as being associated with the second IM session; and in response to determining that the first message is associated with the first pre-defined topic and that the first-predefined topic matches a topic identified as being associated with the second IM session, the data processing system issuing a confirmation request as to whether the first message should be sent to a recipient associated with the first IM session. | 4. A method of monitoring messages in a communications network to avoid sending a message to an unintended recipient, the method comprising: a data processing system identifying, via a topic recognition engine, topics associated with respective first and second instant messaging (IM) sessions; the data processing system determining whether a first message in the first IM session is associated with a first pre-defined topic, whether the first pre-defined topic matches a topic identified as being associated with the first IM session, and whether the first pre-defined topic matches a topic identified as being associated with the second IM session; and in response to determining that the first message is associated with the first pre-defined topic and that the first-predefined topic matches a topic identified as being associated with the second IM session, the data processing system issuing a confirmation request as to whether the first message should be sent to a recipient associated with the first IM session. 6. The method of claim 4 , further comprising, in response to determining that the first pre-defined topic matches a topic identified as associated with the first IM session, sending the first message to the recipient associated with the first IM session. | 0.690534 |
5,537,630 | 22 | 23 | 22. A storage device readable by a data processing system and encoding data processing system executable instructions for the data storage device comprising: means for graphically displaying a plurality of objects, wherein said at least one object includes a method having a plurality of parameters; means for selectively displaying each parameter in said plurality of parameters for said at least one object in association with said at least one object, wherein said plurality of parameters are displayed using a tree structure; means for displaying a list of sources for a parameter within said plurality of parameters in response to a selection of said parameter; and means for permitting specification of said parameter using said list of sources, wherein said parameter specified using said list of parameters is propagated to said method in said language for said object, wherein said means are activated when said storage device is connected to and accessed by a data processing system. | 22. A storage device readable by a data processing system and encoding data processing system executable instructions for the data storage device comprising: means for graphically displaying a plurality of objects, wherein said at least one object includes a method having a plurality of parameters; means for selectively displaying each parameter in said plurality of parameters for said at least one object in association with said at least one object, wherein said plurality of parameters are displayed using a tree structure; means for displaying a list of sources for a parameter within said plurality of parameters in response to a selection of said parameter; and means for permitting specification of said parameter using said list of sources, wherein said parameter specified using said list of parameters is propagated to said method in said language for said object, wherein said means are activated when said storage device is connected to and accessed by a data processing system. 23. The storage device of claim 22, wherein said storage device is a hard disk drive. | 0.722222 |
8,645,404 | 1 | 5 | 1. A method, comprising: reading, via a processor from a displaced-read memory offset address adjusted relative to word-aligned memory operations of a memory access system that utilizes word-aligned address boundaries within a memory, a split data word from the memory comprising a portion of each of two word-aligned data words stored by the memory access system within the memory using the word-aligned memory operations at two of the word-aligned address boundaries within the memory, where reading the split data word from the displaced-read memory offset address comprises a first level of a two-level memory search; comparing the portions of each of the two word-aligned data words within the split data word with corresponding portions of a word-aligned search pattern; determining that a potential complete match for the word-aligned search pattern exists within at least one of the two word-aligned data words based upon an identified match of at least one of the portions of the two word-aligned data words within the split data word with a corresponding at least one portion of the word-aligned search pattern; iterating processing of the first level of the two-level memory search through the memory; performing a second level of the two-level memory search in response to each determined potential complete match for the word-aligned search pattern, comprising: reading, in response to determining that the potential complete match for the word-aligned search pattern exists within the at least one of the two word-aligned data words, at least one complete data word from a word-aligned address boundary at which the at least one of the two word-aligned data words is stored within the memory, where reading the at least one complete data word from the word-aligned address boundary at which the at least one of the two word-aligned data words is stored within the memory comprises the second level of the two-level memory search of the two word-aligned data words: comparing the at least one complete data word with the word-aligned search pattern; and determining whether a complete data word match for the word-aligned search pattern exists within the at least one of the two word-aligned data words based upon the comparison of the at least one complete data word with the word-aligned search pattern; where the two-level memory search comprises a specified memory search address range, and further comprising: determining whether an odd number of word-aligned data words within the specified memory search address range results in a single word-aligned data word at an end of the specified memory search address range that has not been processed; reading, in response to determining that the odd number of word-aligned data words within the specified memory search address range results in the single word-aligned data word at the end of the specified memory search address range that has not been processed, a complete data word from a word-aligned address at which the single word-aligned data word is stored within the memory; comparing the complete data word with the word-aligned search pattern; and determining whether the complete data word match for the word-aligned search pattern exists within the single word-aligned data word based upon the comparison of the complete data word with the word-aligned search pattern. | 1. A method, comprising: reading, via a processor from a displaced-read memory offset address adjusted relative to word-aligned memory operations of a memory access system that utilizes word-aligned address boundaries within a memory, a split data word from the memory comprising a portion of each of two word-aligned data words stored by the memory access system within the memory using the word-aligned memory operations at two of the word-aligned address boundaries within the memory, where reading the split data word from the displaced-read memory offset address comprises a first level of a two-level memory search; comparing the portions of each of the two word-aligned data words within the split data word with corresponding portions of a word-aligned search pattern; determining that a potential complete match for the word-aligned search pattern exists within at least one of the two word-aligned data words based upon an identified match of at least one of the portions of the two word-aligned data words within the split data word with a corresponding at least one portion of the word-aligned search pattern; iterating processing of the first level of the two-level memory search through the memory; performing a second level of the two-level memory search in response to each determined potential complete match for the word-aligned search pattern, comprising: reading, in response to determining that the potential complete match for the word-aligned search pattern exists within the at least one of the two word-aligned data words, at least one complete data word from a word-aligned address boundary at which the at least one of the two word-aligned data words is stored within the memory, where reading the at least one complete data word from the word-aligned address boundary at which the at least one of the two word-aligned data words is stored within the memory comprises the second level of the two-level memory search of the two word-aligned data words: comparing the at least one complete data word with the word-aligned search pattern; and determining whether a complete data word match for the word-aligned search pattern exists within the at least one of the two word-aligned data words based upon the comparison of the at least one complete data word with the word-aligned search pattern; where the two-level memory search comprises a specified memory search address range, and further comprising: determining whether an odd number of word-aligned data words within the specified memory search address range results in a single word-aligned data word at an end of the specified memory search address range that has not been processed; reading, in response to determining that the odd number of word-aligned data words within the specified memory search address range results in the single word-aligned data word at the end of the specified memory search address range that has not been processed, a complete data word from a word-aligned address at which the single word-aligned data word is stored within the memory; comparing the complete data word with the word-aligned search pattern; and determining whether the complete data word match for the word-aligned search pattern exists within the single word-aligned data word based upon the comparison of the complete data word with the word-aligned search pattern. 5. The method of claim 1 , where the portion of each of the two word-aligned data words stored by the memory access system within the memory using the word-aligned memory operations at the two of the word-aligned address boundaries within the memory comprise a half word of each of the two word-aligned data words, and where comparing the portions of each of the two word-aligned data words within the split data word with the corresponding portions of the word-aligned search pattern comprises: cross-comparing a lower half word of the split data word with an upper half word of the word-aligned search pattern and cross-comparing an upper half word of the split data word with a lower half word of the word-aligned search pattern. | 0.773935 |
9,990,679 | 1 | 3 | 1. A method comprising: identifying a user interaction by traversing a social graph maintained by a social network system, wherein the user interaction is without a corresponding explicit social graph connection in the social graph, the user interaction involving both a first social network object and a second social network object; generating an implicit social graph connection between the first social network object and the second social network object based on the user interaction that is without the corresponding explicit social graph connection; and storing the implicit social graph connection in the social graph of the social network system; and providing a social network service that selectively presents, based on the implicit social graph connection, a content entry to a client device of the social network system. | 1. A method comprising: identifying a user interaction by traversing a social graph maintained by a social network system, wherein the user interaction is without a corresponding explicit social graph connection in the social graph, the user interaction involving both a first social network object and a second social network object; generating an implicit social graph connection between the first social network object and the second social network object based on the user interaction that is without the corresponding explicit social graph connection; and storing the implicit social graph connection in the social graph of the social network system; and providing a social network service that selectively presents, based on the implicit social graph connection, a content entry to a client device of the social network system. 3. The method of claim 1 , wherein the user interaction is a communication action or a reference action, wherein the communication action refers to a messaging event between social network objects of the social network system and the reference action refers one social network object publishing content to the social network system that references another social network object. | 0.773923 |
9,832,622 | 1 | 10 | 1. A computer implemented method comprising: receiving a client identifier from a client device associated with a user of a social-networking system; establishing, based on the client identifier, a wireless communication link with the client device, wherein the wireless communication link is established after a particular duration of time has passed; determining based on the particular duration of time being above a threshold duration, an operational context indicating that quality of a data connection with the client device is too low to transmit an image in its original form; determining one or more image parameters based on the operational context of the client device, wherein the image parameters: specify creation of an optimized image that is based on the image in its original form; and comprises one or more modifications for the optimized image, wherein the modifications reduce the data size of the optimized image; creating the optimized image based on the image parameters for provision to the user; and providing the optimized image to the client device and to an image repository. | 1. A computer implemented method comprising: receiving a client identifier from a client device associated with a user of a social-networking system; establishing, based on the client identifier, a wireless communication link with the client device, wherein the wireless communication link is established after a particular duration of time has passed; determining based on the particular duration of time being above a threshold duration, an operational context indicating that quality of a data connection with the client device is too low to transmit an image in its original form; determining one or more image parameters based on the operational context of the client device, wherein the image parameters: specify creation of an optimized image that is based on the image in its original form; and comprises one or more modifications for the optimized image, wherein the modifications reduce the data size of the optimized image; creating the optimized image based on the image parameters for provision to the user; and providing the optimized image to the client device and to an image repository. 10. The computer implemented method of claim 1 , further comprising receiving a request from the client device for the image in its original form. | 0.723485 |
8,346,701 | 1 | 7 | 1. A method carried out by a first community question-answer (CQA) server comprising: collecting a plurality of first questions and corresponding first answers as a plurality of first question-answer (q-a) pairs; selecting a second question and a plurality of candidate second answers as a plurality of candidate second question-answer (q-a) pairs for making a determination of answer quality; identifying a set of the first questions that are similar to the second question; determining first linking features between the identified set of first questions and the corresponding first answers; comparing the first linking features with second linking features determined between the second question and each of the candidate second answers for predicting analogous linking features; and ranking the candidate second answers based on the comparing. | 1. A method carried out by a first community question-answer (CQA) server comprising: collecting a plurality of first questions and corresponding first answers as a plurality of first question-answer (q-a) pairs; selecting a second question and a plurality of candidate second answers as a plurality of candidate second question-answer (q-a) pairs for making a determination of answer quality; identifying a set of the first questions that are similar to the second question; determining first linking features between the identified set of first questions and the corresponding first answers; comparing the first linking features with second linking features determined between the second question and each of the candidate second answers for predicting analogous linking features; and ranking the candidate second answers based on the comparing. 7. The method according to claim 1 , wherein the collecting the first q-a pairs further comprises collecting both positive first q-a pairs containing a first answer previously identified as a high-quality answer, and negative first q-a pairs containing a first answer that is not a high-quality answer. | 0.916064 |
8,267,979 | 22 | 24 | 22. A dynamic spine stabilization device comprising: a bone anchor having a housing and a longitudinal axis; a cavity in the housing coaxial with the longitudinal axis; a post received in the cavity; the post having a retainer at a distal end and a mount at a proximal end; the retainer being secured in a pocket of the cavity of the housing such that the post may pivot within the housing; a spring positioned in the cavity of the housing between the post and the housing such that deflection of the retainer in a direction perpendicular to the longitudinal axis causes compression of the spring in a direction parallel to the longitudinal axis; and wherein the spring applies a force upon the post pushing the post towards a position in which the post is coaxial with the longitudinal axis. | 22. A dynamic spine stabilization device comprising: a bone anchor having a housing and a longitudinal axis; a cavity in the housing coaxial with the longitudinal axis; a post received in the cavity; the post having a retainer at a distal end and a mount at a proximal end; the retainer being secured in a pocket of the cavity of the housing such that the post may pivot within the housing; a spring positioned in the cavity of the housing between the post and the housing such that deflection of the retainer in a direction perpendicular to the longitudinal axis causes compression of the spring in a direction parallel to the longitudinal axis; and wherein the spring applies a force upon the post pushing the post towards a position in which the post is coaxial with the longitudinal axis. 24. The device of claim 22 , wherein said spring comprises a plurality of planar spring elements. | 0.937661 |
7,802,268 | 18 | 20 | 18. The method according to claim 10 , wherein the act of determining the set of late bound functions capable of processing the function call includes an act of determining at least one verifiable late bound function capable of processing the function call. | 18. The method according to claim 10 , wherein the act of determining the set of late bound functions capable of processing the function call includes an act of determining at least one verifiable late bound function capable of processing the function call. 20. The method according to claim 18 , further comprising an act of verifying the at least one verifiable late bound function at runtime. | 0.957638 |
8,280,959 | 1 | 2 | 1. A method comprising: requesting a web page from a web server, wherein the web page is within a domain of a third-party website that is different from a domain of a social networking system; receiving at a user device a markup language document for the requested web page; requesting information from the social networking system for presentation within the requested web page by providing to the social networking system one or more parameters for selecting the requested information, wherein the requested information received from the social networking system is selected based on the one or more parameters, and wherein the one or more parameters comprise at least one parameter selected from a group consisting of: a URL, a domain, a networking address for the requested information, one or more keywords, one or more interests, demographic information, location information, geo-location information, an instruction to apply affinity criteria, an instruction to apply a decay factor, and any combination thereof; providing to the social networking system an identification of a user associated with the user device; receiving the requested information from the social networking system, wherein the requested information received from the social networking system comprises information associated with a set of recommended web pages for the user selected at least in part on one or more actions performed by one or more other users with whom the user has established a connection in the social networking system; rendering the web page and the content based on the obtained information within the web page; and displaying the rendered web page. | 1. A method comprising: requesting a web page from a web server, wherein the web page is within a domain of a third-party website that is different from a domain of a social networking system; receiving at a user device a markup language document for the requested web page; requesting information from the social networking system for presentation within the requested web page by providing to the social networking system one or more parameters for selecting the requested information, wherein the requested information received from the social networking system is selected based on the one or more parameters, and wherein the one or more parameters comprise at least one parameter selected from a group consisting of: a URL, a domain, a networking address for the requested information, one or more keywords, one or more interests, demographic information, location information, geo-location information, an instruction to apply affinity criteria, an instruction to apply a decay factor, and any combination thereof; providing to the social networking system an identification of a user associated with the user device; receiving the requested information from the social networking system, wherein the requested information received from the social networking system comprises information associated with a set of recommended web pages for the user selected at least in part on one or more actions performed by one or more other users with whom the user has established a connection in the social networking system; rendering the web page and the content based on the obtained information within the web page; and displaying the rendered web page. 2. The method of claim 1 , wherein requesting information from the social networking system comprises requesting information from the domain of the social networking system. | 0.882473 |
8,688,746 | 14 | 17 | 14. The method of claim 11 , further comprising: determining a context in which the user performs the selection of the content item, the context including at least one of geographic location of the user, day, date, and time; associating the context of the user selection with the adjusted relevance weighting of the selected content item; receiving a subsequent sequence of incremental keystrokes entered by the user for identifying desired content items; in response to each keystroke of the subsequent sequence of incremental keystrokes entered by the user, selecting and presenting to the user a subsequent subset of content items browsable by the user, wherein only the adjusted relevance weightings associated with the context in which the user enters the subsequent sequence of incremental keystrokes are used in the selecting and presenting of the subsequent subset of content items. | 14. The method of claim 11 , further comprising: determining a context in which the user performs the selection of the content item, the context including at least one of geographic location of the user, day, date, and time; associating the context of the user selection with the adjusted relevance weighting of the selected content item; receiving a subsequent sequence of incremental keystrokes entered by the user for identifying desired content items; in response to each keystroke of the subsequent sequence of incremental keystrokes entered by the user, selecting and presenting to the user a subsequent subset of content items browsable by the user, wherein only the adjusted relevance weightings associated with the context in which the user enters the subsequent sequence of incremental keystrokes are used in the selecting and presenting of the subsequent subset of content items. 17. The method of claim 14 , wherein at least one of the sequence of incremental keystrokes and the subsequent sequence of incremental keystrokes are entered by the user on at least one of a telephone, a PDA, a computer, and a remote control. | 0.817221 |
9,146,997 | 13 | 14 | 13. The system of claim 8 , wherein the characteristic of the user that submitted the received query is one of a geographic location of the user or a language associated with the user. | 13. The system of claim 8 , wherein the characteristic of the user that submitted the received query is one of a geographic location of the user or a language associated with the user. 14. The system of claim 13 , wherein the geographic location of the user or the language associated with the user is determined based on a country code associated with a search engine through which the received query was received. | 0.918728 |
7,797,724 | 4 | 5 | 4. The method of claim 1 further comprising instantiating a transport mechanism. | 4. The method of claim 1 further comprising instantiating a transport mechanism. 5. The method of claim 4 further comprising invoking an application program, associated with the content file, for execution within the document container. | 0.939406 |
7,788,594 | 6 | 8 | 6. A method as in claim 1 further comprising: displaying a first identifier to identify the first operation and displaying a second identifier to identify the second operation. | 6. A method as in claim 1 further comprising: displaying a first identifier to identify the first operation and displaying a second identifier to identify the second operation. 8. A method as in claim 6 wherein the first identifier is a first name which is displayed adjacent to the text input field and the second identifier is a second name which is displayed adjacent to the text input field. | 0.954182 |
8,401,838 | 17 | 19 | 17. The method of claim 11 , further comprising: employing as the at least one language database a plurality of different language databases including information from a plurality of different languages. | 17. The method of claim 11 , further comprising: employing as the at least one language database a plurality of different language databases including information from a plurality of different languages. 19. The method of claim 17 , further comprising: including with a first one of the different language databases information from a first language of the different languages; and including with a second one of the different language databases information from a second language and a third language of the different languages. | 0.865813 |
8,041,701 | 13 | 21 | 13. An article of manufacture comprising a computer-readable medium having stored thereon instructions adapted to be executed by a processor, the instructions which, when executed, define a series of steps to be used to visually display search results, said steps comprising: receiving, from a first search engine, first search result data; determining search query information from said first search result data; transmitting said search query information to a second search engine; receiving, from said second search engine, second search result data identifying a plurality of webpages; determining network address information for a webpage of said plurality of webpages from the second search result data; retrieving, at a first location, said webpage using said network address information determined from the second search result data; creating, at said first location, a reduced size representation of how said webpage as it would currently appear if presently displayed; and displaying, at said first location, said representation of said webpage and said first search result data. | 13. An article of manufacture comprising a computer-readable medium having stored thereon instructions adapted to be executed by a processor, the instructions which, when executed, define a series of steps to be used to visually display search results, said steps comprising: receiving, from a first search engine, first search result data; determining search query information from said first search result data; transmitting said search query information to a second search engine; receiving, from said second search engine, second search result data identifying a plurality of webpages; determining network address information for a webpage of said plurality of webpages from the second search result data; retrieving, at a first location, said webpage using said network address information determined from the second search result data; creating, at said first location, a reduced size representation of how said webpage as it would currently appear if presently displayed; and displaying, at said first location, said representation of said webpage and said first search result data. 21. The article of manufacture of claim 13 , further comprising: in response to receiving the first search result data from the first search engine, executing comparative search instructions for analyzing the first search result data from the first search engine to determine the search query information. | 0.555394 |
9,584,526 | 13 | 16 | 13. The system of claim 12 , wherein the operations further comprise: after removal of the author from the first group, determining respective likeness scores of one or more particular users in relation to the first user and, based thereon, adding the particular users to the first group or removing the particular users from the first group. | 13. The system of claim 12 , wherein the operations further comprise: after removal of the author from the first group, determining respective likeness scores of one or more particular users in relation to the first user and, based thereon, adding the particular users to the first group or removing the particular users from the first group. 16. The system of claim 13 , wherein determining the respective likeness scores of the particular users in relation to the first user, comprises: identifying one or more discriminating attributes; obtaining a weighted vector of attributes for the first user and for each of the particular users; adjusting a respective weight of the discriminating attributes in each of the vectors; and calculating the respective likeness score of each of the particular users as a difference between the weighted vector of attributes of the particular user and the weighted vector of attributes of the first user. | 0.74661 |
8,135,617 | 11 | 13 | 11. The system of claim 1 , wherein content selected for the second display area comprises: one or more links to advertiser web page. | 11. The system of claim 1 , wherein content selected for the second display area comprises: one or more links to advertiser web page. 13. The system of claim 11 , wherein the one or more links to advertiser web page are selected based on, in part, on a click-through rate (CTR) and revenue per thousand page views (RPM). | 0.929385 |
8,423,348 | 2 | 6 | 2. A computer-implemented method of applying equivalent declared patterns and equivalent name sets to generate executable semantic pattern recognition rules for use in determining the information of interest from an information source comprising: a computer comprising one or more processors configured to: inputting said equivalent declared patterns; defining a specification of a target rules language format by a target rules language format module; providing a library of equivalent name sets; reducing said matching declared pattern units of each equivalent declared pattern to semantic items in an ontology, wherein each semantic item represents an equivalent name set, to produce equivalent name set enhanced semantic units; and applying said specification of said target rules language format to said equivalent declared patterns containing said equivalent name set enhanced semantic units to generate executable semantic pattern recognition rules by a rules generator. | 2. A computer-implemented method of applying equivalent declared patterns and equivalent name sets to generate executable semantic pattern recognition rules for use in determining the information of interest from an information source comprising: a computer comprising one or more processors configured to: inputting said equivalent declared patterns; defining a specification of a target rules language format by a target rules language format module; providing a library of equivalent name sets; reducing said matching declared pattern units of each equivalent declared pattern to semantic items in an ontology, wherein each semantic item represents an equivalent name set, to produce equivalent name set enhanced semantic units; and applying said specification of said target rules language format to said equivalent declared patterns containing said equivalent name set enhanced semantic units to generate executable semantic pattern recognition rules by a rules generator. 6. The method of claim 2 , wherein a semantic unit comprises words, sentences or paragraphs. | 0.955078 |
10,121,286 | 15 | 16 | 15. A method for synchronizing an annotated 3D computer-aided design (CAD) model and a 2D drawing, the method comprising: receiving, at a processing circuit, an annotated 3D CAD model of a physical part or assembly; generating, by the processing circuit, a 2D drawing of the physical part or assembly using the annotated 3D CAD model; adding, by the processing circuit, supplemental content to the 2D drawing, wherein the supplemental content is not included in the annotated 3D CAD model; and modifying, by the processing circuit, the annotated 3D CAD model to include 2D drawing parameters that include the supplemental content added to the 2D drawing, wherein the 2D drawing parameters provide instructions for reproducing the 2D drawing including the supplemental content, such that the 2D drawing is not saved. | 15. A method for synchronizing an annotated 3D computer-aided design (CAD) model and a 2D drawing, the method comprising: receiving, at a processing circuit, an annotated 3D CAD model of a physical part or assembly; generating, by the processing circuit, a 2D drawing of the physical part or assembly using the annotated 3D CAD model; adding, by the processing circuit, supplemental content to the 2D drawing, wherein the supplemental content is not included in the annotated 3D CAD model; and modifying, by the processing circuit, the annotated 3D CAD model to include 2D drawing parameters that include the supplemental content added to the 2D drawing, wherein the 2D drawing parameters provide instructions for reproducing the 2D drawing including the supplemental content, such that the 2D drawing is not saved. 16. The method of claim 15 , further comprising: using the 2D drawing parameters within the annotated 3D CAD model to re-create the 2D drawing including the supplemental content. | 0.829502 |
9,367,539 | 9 | 14 | 9. A method, comprising: extracting translatable content from an original document, wherein the original document contains a first language; creating a plurality of intermediate documents from the extracted translatable content, wherein the plurality of intermediate documents includes the extracted translatable content, and wherein at least two of the intermediate documents are different from one another and independent from the file format for the original document; transmitting the plurality of intermediate documents to a translation service for translation from the first language to a second language; receiving one or more translated intermediate documents from the translation service; extracting translated content from the one or more translated intermediate documents; and constructing a translated document based on the extracted translated content, the translated document comprising a translation of the original document from the first language to the second language. | 9. A method, comprising: extracting translatable content from an original document, wherein the original document contains a first language; creating a plurality of intermediate documents from the extracted translatable content, wherein the plurality of intermediate documents includes the extracted translatable content, and wherein at least two of the intermediate documents are different from one another and independent from the file format for the original document; transmitting the plurality of intermediate documents to a translation service for translation from the first language to a second language; receiving one or more translated intermediate documents from the translation service; extracting translated content from the one or more translated intermediate documents; and constructing a translated document based on the extracted translated content, the translated document comprising a translation of the original document from the first language to the second language. 14. The method of claim 9 , comprising: selecting a translation parser from a plurality of translation parsers for the original document based on a document type of the original document; extracting the translatable content from the original document using the selected translation parser; and constructing the translated document based on the extracted translated content using the selected translation parser. | 0.762976 |
8,346,756 | 1 | 6 | 1. At least one computer-readable storage medium comprising computer-executable instructions stored thereon that, when executed by a computer system, cause the computer system to: receive at least one document for processing; extract at least one expression from the document, the expression containing a scope relationship occurring between at least two terms contained in the expression; calculate a valence of the expression based on the scope relationship between terms as defined in the expression; enter one or more facts in a semantic index representing the valence calculated for the expression, the semantic index comprising an inverted index mapping facts representing valence calculated for expressions in a plurality of documents to the document in which each expression occurs; receive a natural language query that references sentiment expressed by a speaker or author; translate the natural language query into a representation to be compared with the facts in the semantic index; and retrieve documents from semantic index relevant to the natural language query. | 1. At least one computer-readable storage medium comprising computer-executable instructions stored thereon that, when executed by a computer system, cause the computer system to: receive at least one document for processing; extract at least one expression from the document, the expression containing a scope relationship occurring between at least two terms contained in the expression; calculate a valence of the expression based on the scope relationship between terms as defined in the expression; enter one or more facts in a semantic index representing the valence calculated for the expression, the semantic index comprising an inverted index mapping facts representing valence calculated for expressions in a plurality of documents to the document in which each expression occurs; receive a natural language query that references sentiment expressed by a speaker or author; translate the natural language query into a representation to be compared with the facts in the semantic index; and retrieve documents from semantic index relevant to the natural language query. 6. The storage medium of claim 1 , wherein the instructions for calculating a valence include instructions for calculating a valence of an expression to account for metaphoric use of at least one term included within the expression. | 0.756813 |
8,478,735 | 1 | 5 | 1. A method for obtaining ranked search results including names of ranked experts who are members of a social network and presenting the ranked search results to a user performing a search from a user interface of a user device, the user being registered on the social network and having connections thereon, the method comprising: collecting, by a social search server, searchable data representative of different activities of the members of the social network, the social search server being connected to a server hosting the social network via a communication network, wherein the data being collected represent different combinations of: posting, liking, commenting on, providing links, living in a given location, sharing content, providing articles, and providing videos; indexing, by an indexing engine, the data representative of the different activities of the members on the social network to produce indexed activity data; receiving, by the social search server, a search query relative to a subject along with a user identifier from the user device; using the search query and the user identifier, ranking, by the social search server, members from only the user's connections based on their activities on the social network related to the subject to obtain the names of ranked experts for the subject, the ranking comprising assigning a weight to each different activity whereby the ranking of the members will be influenced by the different activities performed and the ranking assigned to each different activity; returning, by the social search server, the names of ranked experts for the subject to the user device; and presenting, on the user interface, the names of ranked experts for the subject. | 1. A method for obtaining ranked search results including names of ranked experts who are members of a social network and presenting the ranked search results to a user performing a search from a user interface of a user device, the user being registered on the social network and having connections thereon, the method comprising: collecting, by a social search server, searchable data representative of different activities of the members of the social network, the social search server being connected to a server hosting the social network via a communication network, wherein the data being collected represent different combinations of: posting, liking, commenting on, providing links, living in a given location, sharing content, providing articles, and providing videos; indexing, by an indexing engine, the data representative of the different activities of the members on the social network to produce indexed activity data; receiving, by the social search server, a search query relative to a subject along with a user identifier from the user device; using the search query and the user identifier, ranking, by the social search server, members from only the user's connections based on their activities on the social network related to the subject to obtain the names of ranked experts for the subject, the ranking comprising assigning a weight to each different activity whereby the ranking of the members will be influenced by the different activities performed and the ranking assigned to each different activity; returning, by the social search server, the names of ranked experts for the subject to the user device; and presenting, on the user interface, the names of ranked experts for the subject. 5. The method of claim 1 , wherein an online status of the members is monitored and the ranking of the members is influenced by the online status of the members. | 0.748438 |
7,945,691 | 9 | 13 | 9. A system comprising: a data distribution device comprising: memory operable to store: a repository comprising data conveyance rules and rule templates associated with the data conveyance rules, the data conveyance rules being used by the data distribution device to determine under what conditions to send data to a data output device, and a rule editor for modifying the data conveyance rules and the rule templates; and a processor operable to: determine whether a first message indicating that a set of the data conveyance rules to be modified has been received from the data output device, the data conveyance rules being identified using at least one of a user name for a user associated with the first message and a data output device identifier for the data output device, the data conveyance rules pertaining to messages delivered to the data output device subsequent to the first message, if the first message to modify has been received, identify a rule template associated with the set, the identified rule template comprising at least one parameter, generate and send, from the data distribution device to the data output device over a communication network, a second message specifying a user interface corresponding to the identified template and the at least one parameter associated with the data conveyance rules that are to be modified, the second message causing the data output device to generate a user interface based on the specified user interface and the identified at least one parameter in the second message, determine whether a third message comprising a specification of the parameter has been received from the data output device, and if the third message specifying the parameter has been received, create a rule by binding the rule template with the specified parameter, the created rule thereafter forming part of the data conveyance rules; wherein the data distribution device maintains a state of the data output device so that the data distribution device provides the data output device with only new data; wherein the data is persisted at the data output device across trips between the data distribution device and the data output device. | 9. A system comprising: a data distribution device comprising: memory operable to store: a repository comprising data conveyance rules and rule templates associated with the data conveyance rules, the data conveyance rules being used by the data distribution device to determine under what conditions to send data to a data output device, and a rule editor for modifying the data conveyance rules and the rule templates; and a processor operable to: determine whether a first message indicating that a set of the data conveyance rules to be modified has been received from the data output device, the data conveyance rules being identified using at least one of a user name for a user associated with the first message and a data output device identifier for the data output device, the data conveyance rules pertaining to messages delivered to the data output device subsequent to the first message, if the first message to modify has been received, identify a rule template associated with the set, the identified rule template comprising at least one parameter, generate and send, from the data distribution device to the data output device over a communication network, a second message specifying a user interface corresponding to the identified template and the at least one parameter associated with the data conveyance rules that are to be modified, the second message causing the data output device to generate a user interface based on the specified user interface and the identified at least one parameter in the second message, determine whether a third message comprising a specification of the parameter has been received from the data output device, and if the third message specifying the parameter has been received, create a rule by binding the rule template with the specified parameter, the created rule thereafter forming part of the data conveyance rules; wherein the data distribution device maintains a state of the data output device so that the data distribution device provides the data output device with only new data; wherein the data is persisted at the data output device across trips between the data distribution device and the data output device. 13. The system of claim 9 , wherein the processor is further operable to: associate one of the data conveyance rules with a rule template; parse the rule to identify specifications for parameters of the template; and generate a message specifying a user interface corresponding to the associated template, the identified parameters, and the identified specifications. | 0.653774 |
5,546,519 | 7 | 8 | 7. A method for visually programing an application on a display in an object-oriented environment, comprising the steps of: displaying a link object represented by an icon on said display; removably connecting said link object to a first object and to a second object having at least two elements; and iterating an action over said elements of said second object and targeting said action toward said first object. | 7. A method for visually programing an application on a display in an object-oriented environment, comprising the steps of: displaying a link object represented by an icon on said display; removably connecting said link object to a first object and to a second object having at least two elements; and iterating an action over said elements of said second object and targeting said action toward said first object. 8. The method according to claim 7 wherein said step of removably connecting said link object comprises the steps of: displaying at least one property of said link object on said display; and changing said property to removably connect said link object to said first object and said second object. | 0.785405 |
9,710,619 | 1 | 2 | 1. A system comprising: one or more processors; and one or more non-transitory computer-readable media including instructions that, when executed by the one or more processors, cause an image processing device to perform operations comprising: initiating, at the image processing device, a scan operation to generate an electronic document representing a scanned physical document; encrypting the electronic document; storing the encrypted electronic document on the image processing device; determining an output mode based on information associated with one or more settings, the output mode corresponding to a type of message to be output; outputting the message in accordance with the output mode, the message including location information, a key, and restriction information, the location information for locating the encrypted electronic document stored on the image processing device, the key for decrypting the encrypted electronic document, the restriction information indicating a restriction associated with the encrypted electronic document; receiving, at the image processing device from a computing device, a request for the encrypted electronic document, the request comprising a request the computing device sent based on the location information; and sending, from the image processing device to the computing device, the encrypted electronic document based on the request, wherein the restriction information includes one or more instructions which when executed on the computing device cause the computing device to restrict availability of at least one function or feature of the computing device in accordance with the restriction information in order to restrict, at the computing device, use of at least one of the encrypted electronic document and an unencrypted electronic document generated by decrypting the encrypted electronic document using the key. | 1. A system comprising: one or more processors; and one or more non-transitory computer-readable media including instructions that, when executed by the one or more processors, cause an image processing device to perform operations comprising: initiating, at the image processing device, a scan operation to generate an electronic document representing a scanned physical document; encrypting the electronic document; storing the encrypted electronic document on the image processing device; determining an output mode based on information associated with one or more settings, the output mode corresponding to a type of message to be output; outputting the message in accordance with the output mode, the message including location information, a key, and restriction information, the location information for locating the encrypted electronic document stored on the image processing device, the key for decrypting the encrypted electronic document, the restriction information indicating a restriction associated with the encrypted electronic document; receiving, at the image processing device from a computing device, a request for the encrypted electronic document, the request comprising a request the computing device sent based on the location information; and sending, from the image processing device to the computing device, the encrypted electronic document based on the request, wherein the restriction information includes one or more instructions which when executed on the computing device cause the computing device to restrict availability of at least one function or feature of the computing device in accordance with the restriction information in order to restrict, at the computing device, use of at least one of the encrypted electronic document and an unencrypted electronic document generated by decrypting the encrypted electronic document using the key. 2. The system of claim 1 , wherein the restriction information is automatically included in the message based on a predetermined policy. | 0.777049 |
8,880,430 | 1 | 2 | 1. A computer-implemented method for identifying an on-line bank account utilized for business purposes, the method being performed by a computer and comprising: the computer parsing data of an on-line bank account into a plurality of segments; the computer applying a first set of rules to individual segments and a second set of rules to groups of multiple segments; and the computer determining whether the on-line bank account is a business account or utilized for business purposes based at least in part upon respective scores generated by application of respective first and second sets of rules. | 1. A computer-implemented method for identifying an on-line bank account utilized for business purposes, the method being performed by a computer and comprising: the computer parsing data of an on-line bank account into a plurality of segments; the computer applying a first set of rules to individual segments and a second set of rules to groups of multiple segments; and the computer determining whether the on-line bank account is a business account or utilized for business purposes based at least in part upon respective scores generated by application of respective first and second sets of rules. 2. The method of claim 1 , the on-line bank account being hosted by a financial institution, the computer being a computer of the financial institution. | 0.820331 |
7,647,554 | 11 | 19 | 11. A computer readable medium that includes computer executable instructions for performing steps, comprising: (a) reporting a misspelled word to a user; (b) determining a first group of one or more words that each include a substitute letter for a letter contained in the misspelled word, wherein a keyboard key of the substitute letter is a nearby keyboard key of the letter contained in said misspelled word; and (c) presenting to the user a list of replacement words that have spellings similar to said misspelled word, said list including one or more words selected from said first group of words. | 11. A computer readable medium that includes computer executable instructions for performing steps, comprising: (a) reporting a misspelled word to a user; (b) determining a first group of one or more words that each include a substitute letter for a letter contained in the misspelled word, wherein a keyboard key of the substitute letter is a nearby keyboard key of the letter contained in said misspelled word; and (c) presenting to the user a list of replacement words that have spellings similar to said misspelled word, said list including one or more words selected from said first group of words. 19. The computer readable medium of claim 11 , further comprising determining from a content of said document a second group of one or more words that includes words actually occurring in said document, wherein said list includes one or more words selected from either or both of said first and second groups of words. | 0.501567 |
7,809,760 | 7 | 8 | 7. The method of claim 5 , the multimedia objects are extracted from the multimedia content by steps further comprising selecting the at least one feature description from the group consisting of media, semantic, and temporal features. | 7. The method of claim 5 , the multimedia objects are extracted from the multimedia content by steps further comprising selecting the at least one feature description from the group consisting of media, semantic, and temporal features. 8. The method of claim 7 , wherein the media features are further defined by at least one feature description selected from the group comprising data location, scalable representation, and modality transcoding. | 0.920213 |
8,990,123 | 9 | 12 | 9. A computer-implemented method for providing user-to-user online networking service over a network providing online networking service to a plurality of user, including members and non-members, comprising the steps of: providing functionality for said plurality of users to compose personal reviews for other users and tag said other users with words describing personality attributes; providing a first user of said plurality of users to initiate and send an anonymous message to a recipient via said network, wherein said anonymous message includes profile of said first user; inserting at least two additional profiles selected from at least two of said plurality of users to said anonymous message before sending said anonymous message thereby making sender of said anonymous message unknown to said recipient; allowing the recipient to respond to said anonymous message with: a) deleting said anonymous message; or b) selecting one of the profiles in said anonymous message; revealing said first user as the sender of said anonymous message to the recipient if the recipient selected the profile of said first user in said anonymous message; and generating a new anonymous message, if the recipient selected a profile other than the profile of said first user, to include profile of the recipient and at least two additional profiles selected from another at least two of said plurality of users, and delivering the new anonymous message to the user of the selected profile. | 9. A computer-implemented method for providing user-to-user online networking service over a network providing online networking service to a plurality of user, including members and non-members, comprising the steps of: providing functionality for said plurality of users to compose personal reviews for other users and tag said other users with words describing personality attributes; providing a first user of said plurality of users to initiate and send an anonymous message to a recipient via said network, wherein said anonymous message includes profile of said first user; inserting at least two additional profiles selected from at least two of said plurality of users to said anonymous message before sending said anonymous message thereby making sender of said anonymous message unknown to said recipient; allowing the recipient to respond to said anonymous message with: a) deleting said anonymous message; or b) selecting one of the profiles in said anonymous message; revealing said first user as the sender of said anonymous message to the recipient if the recipient selected the profile of said first user in said anonymous message; and generating a new anonymous message, if the recipient selected a profile other than the profile of said first user, to include profile of the recipient and at least two additional profiles selected from another at least two of said plurality of users, and delivering the new anonymous message to the user of the selected profile. 12. The method of claim 9 , further comprising the step of: allowing a first member of said members to make match for a second member with another user and sending a matching request to said second member and said another user. | 0.696524 |
5,434,955 | 2 | 5 | 2. A fuzzy inference apparatus, comprising: an input device for entering input data relating to phenomena; a storage device for storing knowledge of expert users expressing relationships between phenomena and conclusions as a plurality of membership functions, whereby said relationships can include a case in which a single phenomenon, for which a single conclusion is to be drawn, has two or more separate definitions which are conjoined in an OR relationship, said two or more definitions being represented by at least two membership functions; a grade calculating device for calculating a grade measure of said input data with respect to each of said plurality of membership functions for a given conclusion, wherein when a single phenomenon, for which a conclusion is to be drawn, has two or more separate definitions which are conjoined in an OR relationship, a grade measure of said input data is produced for each of said two or more of membership functions representing said two or more definitions; a fuzzy information amount calculating device for calculating a fuzzy information amount for each said phenomenon using said grade measures; and a possibility calculating device for performing fuzzy inferences to determine a possibility of a conclusion using said grade measures and said fuzzy information amounts. | 2. A fuzzy inference apparatus, comprising: an input device for entering input data relating to phenomena; a storage device for storing knowledge of expert users expressing relationships between phenomena and conclusions as a plurality of membership functions, whereby said relationships can include a case in which a single phenomenon, for which a single conclusion is to be drawn, has two or more separate definitions which are conjoined in an OR relationship, said two or more definitions being represented by at least two membership functions; a grade calculating device for calculating a grade measure of said input data with respect to each of said plurality of membership functions for a given conclusion, wherein when a single phenomenon, for which a conclusion is to be drawn, has two or more separate definitions which are conjoined in an OR relationship, a grade measure of said input data is produced for each of said two or more of membership functions representing said two or more definitions; a fuzzy information amount calculating device for calculating a fuzzy information amount for each said phenomenon using said grade measures; and a possibility calculating device for performing fuzzy inferences to determine a possibility of a conclusion using said grade measures and said fuzzy information amounts. 5. The fuzzy inference apparatus of claim 2, wherein said knowledge is stored in said storage device in a form which expresses that two or more definitions of said single phenomenon are in an OR relationship. | 0.840979 |
8,930,403 | 11 | 14 | 11. An access-controlled database system comprising a policy enforcement point (PEP) for providing access control (AC) in respect of a relational database storing information in tables and columns, the PEP being adapted to be located between the database and a user interface, which is configured to accept a database query from a user and return information extracted from the database, and the PEP comprising the following communicatively connected sections: a communication interface for intercepting a database query; and attribute evaluating means for assigning attribute values by performing one of the following: a) assigning a resource attribute value based on at least one target table or target column in the query; b) assigning an action attribute value based on a construct type in the query; and c) assigning a subject and/or environment attribute value based on at least an identity of the user or on environment data, wherein the communication interface is further adapted to transmit an amended query, resulting from imposing an access condition derived from an attribute-based AC policy on the basis of attribute values provided by the attribute evaluating means, to the database. | 11. An access-controlled database system comprising a policy enforcement point (PEP) for providing access control (AC) in respect of a relational database storing information in tables and columns, the PEP being adapted to be located between the database and a user interface, which is configured to accept a database query from a user and return information extracted from the database, and the PEP comprising the following communicatively connected sections: a communication interface for intercepting a database query; and attribute evaluating means for assigning attribute values by performing one of the following: a) assigning a resource attribute value based on at least one target table or target column in the query; b) assigning an action attribute value based on a construct type in the query; and c) assigning a subject and/or environment attribute value based on at least an identity of the user or on environment data, wherein the communication interface is further adapted to transmit an amended query, resulting from imposing an access condition derived from an attribute-based AC policy on the basis of attribute values provided by the attribute evaluating means, to the database. 14. The system of claim 11 , wherein the PEP further comprises query modifying means for amending the database query intercepted by the communication interface by imposing said access condition. | 0.901423 |
6,151,604 | 31 | 36 | 31. A method for storing and retrieving data in a computer memory, comprising the steps of: configuring said memory according to a logical table, said logical table including: a plurality of logical rows, each said logical row including an object identification number (OID) to identify each said logical row, each said logical row corresponding to a record of information; a plurality of logical columns intersecting said plurality of logical rows to define a plurality of logical cells, each said logical column including an OID to identify each said logical column; and wherein at least one of said logical rows has an OID equal to the OID to a corresponding one of said logical columns, and at least one of said logical rows includes logical column information defining each of said logical columns. | 31. A method for storing and retrieving data in a computer memory, comprising the steps of: configuring said memory according to a logical table, said logical table including: a plurality of logical rows, each said logical row including an object identification number (OID) to identify each said logical row, each said logical row corresponding to a record of information; a plurality of logical columns intersecting said plurality of logical rows to define a plurality of logical cells, each said logical column including an OID to identify each said logical column; and wherein at least one of said logical rows has an OID equal to the OID to a corresponding one of said logical columns, and at least one of said logical rows includes logical column information defining each of said logical columns. 36. The method of claim 31 wherein: at least one of said plurality of logical rows includes information defining the type of a different logical row; and at least one of said plurality of logical rows includes a logical cell that contains a pointer to said logical row including logical row type information. | 0.524691 |
9,317,760 | 21 | 22 | 21. A system of determining one or more input characters based upon character recognition output, the system comprising: a computing device; and a non-transitory computer-readable storage medium in communication with the computing device, wherein the computer-readable storage medium comprises one or more programming instructions that, when executed, cause the computing device to: receive a proposed character string generated using character recognition, wherein the proposed character string is associated with a plurality of handwritten characters of an assessment of a student, wherein the proposed character string comprises a first proposed character and a second proposed character, identify one or more possible characters, determine whether the first proposed character is correct, by, for one or more of the possible characters, determining an ultimate probability that the first proposed character is the possible character given the character string by: determining a first probability equal to a probability that if a true value of the first proposed character is the possible character that the first proposed character was identified, determining a second probability equal to a probability that if the true value of the first proposed character is the possible character that a following character is the second proposed character, determining a third probability equal to a probability that the student wrote the possible character, and determining a product of the first probability, the second probability and the third probability; and select the ultimate probability having the highest value. | 21. A system of determining one or more input characters based upon character recognition output, the system comprising: a computing device; and a non-transitory computer-readable storage medium in communication with the computing device, wherein the computer-readable storage medium comprises one or more programming instructions that, when executed, cause the computing device to: receive a proposed character string generated using character recognition, wherein the proposed character string is associated with a plurality of handwritten characters of an assessment of a student, wherein the proposed character string comprises a first proposed character and a second proposed character, identify one or more possible characters, determine whether the first proposed character is correct, by, for one or more of the possible characters, determining an ultimate probability that the first proposed character is the possible character given the character string by: determining a first probability equal to a probability that if a true value of the first proposed character is the possible character that the first proposed character was identified, determining a second probability equal to a probability that if the true value of the first proposed character is the possible character that a following character is the second proposed character, determining a third probability equal to a probability that the student wrote the possible character, and determining a product of the first probability, the second probability and the third probability; and select the ultimate probability having the highest value. 22. The system of claim 21 , wherein the computer-readable storage medium further comprises one or more programming instructions that, when executed, cause the computing device to: determine a fourth probability equal to a probability that the first proposed character was identified; determine a fifth probability equal to a probability that the second proposed character was identified; determine a second product by multiplying the fourth probability and the fifth probability; and determine a ratio of the product and the second product. | 0.682512 |
9,830,391 | 9 | 13 | 9. The method of claim 2 , wherein determining the plurality of active non-textual data elements displayed in an active window of an application environment of the application comprises determining video frames displayed in the application environment and selected in the application environment. | 9. The method of claim 2 , wherein determining the plurality of active non-textual data elements displayed in an active window of an application environment of the application comprises determining video frames displayed in the application environment and selected in the application environment. 13. The method of claim 9 , wherein determining, from the plurality of active non-textual data elements, modification data for the query comprises: performing optical character recognition on the one or more video frames to derive text from the one or more video frames; and generating one or more modified queries based on the query and the text. | 0.896603 |
10,162,811 | 4 | 6 | 4. The method of claim 1 , wherein providing one or more combinations of the first and second sets of scores comprises: performing a language detection test on the sanitized text message to generate a third set of scores, wherein each score in the third set of scores represents a likelihood that the sanitized text message comprises one of a plurality of different languages. | 4. The method of claim 1 , wherein providing one or more combinations of the first and second sets of scores comprises: performing a language detection test on the sanitized text message to generate a third set of scores, wherein each score in the third set of scores represents a likelihood that the sanitized text message comprises one of a plurality of different languages. 6. The method of claim 4 , wherein the language detection test comprises a language detection method. | 0.973684 |
9,141,607 | 1 | 2 | 1. A computer-implemented method comprising: performing a first optical character recognition process with an optical character recognition engine on one or more pages of a document to generate a first output response for each of multiple writing systems that each comprise a character set that is associated with one or more natural languages, wherein the first optical character recognition process uses a first configuration of the optical character recognition engine, and wherein, the first configuration of the optical character recognition engine configures the optical character recognition engine to recognize, for each of the writing systems, a limited subset of characters from the character set of the writing system; using a trained classifier to identify, from among the multiple writing systems, a dominant writing system of the document based on the first output responses generated by the first optical character recognition process; after identifying the dominant writing system of the document and before selecting a dominant natural language of the document, reconfiguring the optical character recognition engine from the first configuration to a second configuration that is different from the first configuration, wherein the second configuration of the optical character recognition engine configures the optical character recognition engine to recognize the full character set that is associated with the one or more natural languages associated with the dominant writing system of the document; performing a second optical character recognition process with the reconfigured optical character recognition engine on one or more pages of the document to generate a second output response, wherein the second optical character recognition process uses the second configuration of the optical character recognition engine; and selecting the dominant natural language from the one or more natural languages associated with the dominant writing system by applying one or more statistical language models to the second output response. | 1. A computer-implemented method comprising: performing a first optical character recognition process with an optical character recognition engine on one or more pages of a document to generate a first output response for each of multiple writing systems that each comprise a character set that is associated with one or more natural languages, wherein the first optical character recognition process uses a first configuration of the optical character recognition engine, and wherein, the first configuration of the optical character recognition engine configures the optical character recognition engine to recognize, for each of the writing systems, a limited subset of characters from the character set of the writing system; using a trained classifier to identify, from among the multiple writing systems, a dominant writing system of the document based on the first output responses generated by the first optical character recognition process; after identifying the dominant writing system of the document and before selecting a dominant natural language of the document, reconfiguring the optical character recognition engine from the first configuration to a second configuration that is different from the first configuration, wherein the second configuration of the optical character recognition engine configures the optical character recognition engine to recognize the full character set that is associated with the one or more natural languages associated with the dominant writing system of the document; performing a second optical character recognition process with the reconfigured optical character recognition engine on one or more pages of the document to generate a second output response, wherein the second optical character recognition process uses the second configuration of the optical character recognition engine; and selecting the dominant natural language from the one or more natural languages associated with the dominant writing system by applying one or more statistical language models to the second output response. 2. The method of claim 1 , wherein the dominant writing system comprises one or more of the following: Latin script, Chinese script, Cyrillic script, Indic script, Japanese script, and Greek script. | 0.904348 |
8,953,182 | 19 | 23 | 19. A processor readable non-transitive storage media that includes data and instructions, wherein the execution of the instructions enables actions for printing a document at a printing device, comprising: receiving the document at a networked device, wherein the document includes text and identifies at least one target font reference for each character; determining if a name of the target font reference is listed in a font strategy table, then employing at least one of a corresponding logic component, substitute font data, and character data to provide substitute font information and width for each character to the printing device; determining if the name of the target font reference is unlisted in the font strategy table, then updating the font strategy table to include the name of the unlisted target font reference, wherein each updated target font reference corresponds to at least one logic component, substitute font data or character data; generating a first character table for the target font reference that includes at least a glyph index and a unicode; generating a second character table for the target font reference that includes at least a width and a glyph name; and enabling the printing device to employ provided font information and width for each character to print text included in the document. | 19. A processor readable non-transitive storage media that includes data and instructions, wherein the execution of the instructions enables actions for printing a document at a printing device, comprising: receiving the document at a networked device, wherein the document includes text and identifies at least one target font reference for each character; determining if a name of the target font reference is listed in a font strategy table, then employing at least one of a corresponding logic component, substitute font data, and character data to provide substitute font information and width for each character to the printing device; determining if the name of the target font reference is unlisted in the font strategy table, then updating the font strategy table to include the name of the unlisted target font reference, wherein each updated target font reference corresponds to at least one logic component, substitute font data or character data; generating a first character table for the target font reference that includes at least a glyph index and a unicode; generating a second character table for the target font reference that includes at least a width and a glyph name; and enabling the printing device to employ provided font information and width for each character to print text included in the document. 23. The media of claim 19 , wherein if the name of the target font reference is listed in the font strategy table, further determining if the font strategy table identifies a downloadable font, then providing the downloadable font information and width for each character to the printing device. | 0.700811 |
9,471,550 | 1 | 6 | 1. A method of converting an input document having a fixed-layout into a portable format, the method comprising, for each page of the input document: extracting a font used on the page; converting the extracted font into a format compatible with a web browser program, wherein said converting comprises: converting the extracted font into an intermediate font format; normalizing the intermediate font format by adjusting metrics of the intermediate font format to cause glyphs in a final font to have the same positioning and line spacing as the input document, based on characteristics of an operating system within which the final font will be displayed, wherein said adjusting includes, for said line spacing: keeping hhead ascent and descent values of the intermediate font format as they appear in the extracted font; and converting windows descent values of the intermediate font format to negative values; and converting the normalized intermediate font format into the final font; extracting text from the page; rendering content of the page, other than the font and the text, as one or more content images; storing the final font, the extracted text and the one or more content images; combining the final font, the extracted text and the one or more content images as a corresponding page of an output document formatted according to a markup language compatible with the web browser program; comparing an image of the page of the input document to an image of the corresponding page of the output document to generate an error score; and if the error score exceeds a threshold, replacing the corresponding page of the output document with an image of the page of the input document. | 1. A method of converting an input document having a fixed-layout into a portable format, the method comprising, for each page of the input document: extracting a font used on the page; converting the extracted font into a format compatible with a web browser program, wherein said converting comprises: converting the extracted font into an intermediate font format; normalizing the intermediate font format by adjusting metrics of the intermediate font format to cause glyphs in a final font to have the same positioning and line spacing as the input document, based on characteristics of an operating system within which the final font will be displayed, wherein said adjusting includes, for said line spacing: keeping hhead ascent and descent values of the intermediate font format as they appear in the extracted font; and converting windows descent values of the intermediate font format to negative values; and converting the normalized intermediate font format into the final font; extracting text from the page; rendering content of the page, other than the font and the text, as one or more content images; storing the final font, the extracted text and the one or more content images; combining the final font, the extracted text and the one or more content images as a corresponding page of an output document formatted according to a markup language compatible with the web browser program; comparing an image of the page of the input document to an image of the corresponding page of the output document to generate an error score; and if the error score exceeds a threshold, replacing the corresponding page of the output document with an image of the page of the input document. 6. The method of claim 1 , wherein said extracting a font comprises: converting a document-specific font file into a format compatible with UTF-8 (Universal Character Set Transformation Format—8-bit). | 0.72067 |
9,922,639 | 1 | 29 | 1. A system, comprising: a speech interface platform configured to (a) receive an audio signal from a speech interface device located in an environment of a user, (b) recognize user speech in the audio signal, (c) understand a user intent from the recognized user speech, and (d) perform an action based on the understood user intent; a graphical interface that is provided by, and accessible by the user through, a user device that is physically separate from the speech interface device, the graphical interface being configured to display a first interface including a list of a plurality of historical interaction records, a historical interaction record of the plurality of historical interaction records associated with information regarding a historical speech interaction between the speech interface platform and the user, wherein the information includes (a) the recognized user speech, (b) the understood user intent, and (c) the action performed by the speech interface platform; wherein the first interface provided by, and accessible by the user through, the user device that is physically separate from the speech interface device is further configured to accept, within the first interface provided by the user device, a selection of the historical interaction record; wherein the graphical interface is configured to display, based at least in part on the selection, a second interface, the second interface configured to display at least a portion of the information regarding the historical speech interaction and to accept, within the second interface provided by the user device, one or more edits or evaluations from the user of the historical speech interaction regarding one or more of (a) the understood user intent and (b) the action performed by the speech interface platform; and wherein the system is configured to receive, from the user device that is physically separate from the speech interface device, the one or more edits or evaluations for improving future speech recognition and intent understanding on a subsequent audio signal received from the speech interface device located in the environment of the user. | 1. A system, comprising: a speech interface platform configured to (a) receive an audio signal from a speech interface device located in an environment of a user, (b) recognize user speech in the audio signal, (c) understand a user intent from the recognized user speech, and (d) perform an action based on the understood user intent; a graphical interface that is provided by, and accessible by the user through, a user device that is physically separate from the speech interface device, the graphical interface being configured to display a first interface including a list of a plurality of historical interaction records, a historical interaction record of the plurality of historical interaction records associated with information regarding a historical speech interaction between the speech interface platform and the user, wherein the information includes (a) the recognized user speech, (b) the understood user intent, and (c) the action performed by the speech interface platform; wherein the first interface provided by, and accessible by the user through, the user device that is physically separate from the speech interface device is further configured to accept, within the first interface provided by the user device, a selection of the historical interaction record; wherein the graphical interface is configured to display, based at least in part on the selection, a second interface, the second interface configured to display at least a portion of the information regarding the historical speech interaction and to accept, within the second interface provided by the user device, one or more edits or evaluations from the user of the historical speech interaction regarding one or more of (a) the understood user intent and (b) the action performed by the speech interface platform; and wherein the system is configured to receive, from the user device that is physically separate from the speech interface device, the one or more edits or evaluations for improving future speech recognition and intent understanding on a subsequent audio signal received from the speech interface device located in the environment of the user. 29. The system of claim 1 , wherein the list of the plurality of historical interaction records is presented in reverse chronological order. | 0.837587 |
8,515,811 | 6 | 7 | 6. The method of claim 5 , wherein the second amount is greater than the first amount. | 6. The method of claim 5 , wherein the second amount is greater than the first amount. 7. The method of claim 6 , wherein calculating the match value begins upon selection by the user of the online advertisement. | 0.920483 |
7,475,015 | 11 | 12 | 11. A system for speech recognition, comprising: a speech recognition engine configured to generate a set of likely hypotheses using a speech recognition method for recognizing speech; a unified language model including a semantic language model and a lexical language model configured for rescoring the likely hypotheses to improve recognition results by using sentence-based semantic content and lexical content wherein the unified language model is trained by including a unigram feature, a bigram feature, a trigram feature, a current active parent label (Li), a number of tokens (Ni) to the left since current parent label (Li) starts, a previous closed constituent label (Oi), a number of tokens (Mi) to the left after the previous closed constituent label finishes, and a number of questions to classify parser tree entries, wherein the questions include a default, (wj−1), (wj−1, wj−2), (Li), (Li,Ni), (Li,Ni, wj−1), and (Oi,Mi), where w represents a word and j is and index representing word position to compute word probabilities; and the speech recognition engine configured to score parse trees to identify a best sentence according to the sentences' parse tree by employing semantic information and lexical information in the parse tree to clarify the recognized speech. | 11. A system for speech recognition, comprising: a speech recognition engine configured to generate a set of likely hypotheses using a speech recognition method for recognizing speech; a unified language model including a semantic language model and a lexical language model configured for rescoring the likely hypotheses to improve recognition results by using sentence-based semantic content and lexical content wherein the unified language model is trained by including a unigram feature, a bigram feature, a trigram feature, a current active parent label (Li), a number of tokens (Ni) to the left since current parent label (Li) starts, a previous closed constituent label (Oi), a number of tokens (Mi) to the left after the previous closed constituent label finishes, and a number of questions to classify parser tree entries, wherein the questions include a default, (wj−1), (wj−1, wj−2), (Li), (Li,Ni), (Li,Ni, wj−1), and (Oi,Mi), where w represents a word and j is and index representing word position to compute word probabilities; and the speech recognition engine configured to score parse trees to identify a best sentence according to the sentences' parse tree by employing semantic information and lexical information in the parse tree to clarify the recognized speech. 12. The system as recited in claim 11 , wherein the parser tree includes semantic information and classer information used in identifying a best parser tree for a given word group. | 0.798206 |
8,799,265 | 16 | 27 | 16. A method of displaying semantically associated text search results using a text index comprising: one or more content records corresponding to an electronic document, the content records identifying one or more text terms present within the electronic document; one or more term association records associating a text term present within the electronic document identified by a content record with a pre-determined semantic definition of the text term; one or more content association records linking a term association record of the one or more term association records with a content records of the one or more content records; said method comprising: enabling a user to select, in a search engine, one or more user-defined text search terms desired to be located within the text index; for user-defined text search terms having term association records within the text index, iteratively presenting to the user a list of pre-determined semantic definitions associated with each of the one or more user-defined text search terms and enabling the user to select a pre-determined semantic definition of those one or more user-defined text search terms; searching the content association records contained within the text index using the user-defined text search terms to locate electronic documents previously catalogued as containing the one or more user-defined text search terms in association with the selected pre-determined semantic definition, to form a semantically relevant results set; displaying the semantically relevant results set to the user; and updating or creating a new content association record during the use of the text index by associating a particular electronic document with the user-defined text search terms, and selected pre-determined semantic definition of the user-defined text search terms, used to locate the particular electronic document, and wherein one or more term association records are updated or created during the use of the text index by enabling the user to select pre-determined semantic definitions for association with user-defined text search terms. | 16. A method of displaying semantically associated text search results using a text index comprising: one or more content records corresponding to an electronic document, the content records identifying one or more text terms present within the electronic document; one or more term association records associating a text term present within the electronic document identified by a content record with a pre-determined semantic definition of the text term; one or more content association records linking a term association record of the one or more term association records with a content records of the one or more content records; said method comprising: enabling a user to select, in a search engine, one or more user-defined text search terms desired to be located within the text index; for user-defined text search terms having term association records within the text index, iteratively presenting to the user a list of pre-determined semantic definitions associated with each of the one or more user-defined text search terms and enabling the user to select a pre-determined semantic definition of those one or more user-defined text search terms; searching the content association records contained within the text index using the user-defined text search terms to locate electronic documents previously catalogued as containing the one or more user-defined text search terms in association with the selected pre-determined semantic definition, to form a semantically relevant results set; displaying the semantically relevant results set to the user; and updating or creating a new content association record during the use of the text index by associating a particular electronic document with the user-defined text search terms, and selected pre-determined semantic definition of the user-defined text search terms, used to locate the particular electronic document, and wherein one or more term association records are updated or created during the use of the text index by enabling the user to select pre-determined semantic definitions for association with user-defined text search terms. 27. The method of claim 16 wherein the user selects a pre-determined semantic definition for each text search term entered. | 0.936663 |
8,285,196 | 1 | 8 | 1. An electronic device comprising: a communication circuitry; at least one non-volatile memory having stored therein one or both of firmware and software; a demographic profile reference stored in the at least one non-volatile memory; at least one processor operably coupled to the non-volatile memory, wherein the at least one processor, during operation, at least: employs the communication circuitry to communicate with a distribution server that supports delivery of a questionnaire to the electronic device and processes responses from the electronic device; receives a questionnaire from the distribution server and displays it to a user; receives the user's input and gathers a response; and communicates the response to the distribution server along with the demographic profile reference. | 1. An electronic device comprising: a communication circuitry; at least one non-volatile memory having stored therein one or both of firmware and software; a demographic profile reference stored in the at least one non-volatile memory; at least one processor operably coupled to the non-volatile memory, wherein the at least one processor, during operation, at least: employs the communication circuitry to communicate with a distribution server that supports delivery of a questionnaire to the electronic device and processes responses from the electronic device; receives a questionnaire from the distribution server and displays it to a user; receives the user's input and gathers a response; and communicates the response to the distribution server along with the demographic profile reference. 8. The electronic device of claim 1 , wherein the electronic device facilitates higher priority selections by a user for at least one question in the questionnaire in which the user selects his individual higher priorities among multi choice answers for the at least one question. | 0.57958 |
8,498,980 | 1 | 28 | 1. A method of searching an electronic information source with a system having a display device, an input device and a processor, the method comprising: receiving at the processor, first search results of a first search of the electronic information source, the first search results including a plurality of terms that are selected from the electronic information source; analyzing at the processor, each of the plurality of terms in the first search results to identify a plurality of selectable terms amongst the plurality of terms in the first search results that are distinct from a plurality of non-selectable terms amongst the plurality of terms in the first search results, wherein each of the plurality of selectable terms is selectable by a user and each of the plurality of non-selectable terms in the first search results are not selectable by the user; displaying a plurality of the first search results of the first search on the display device, whereby the identified plurality of selectable terms in the first search results are distinguished on the display from the plurality of non-selectable terms in the first search results; enabling the user to choose, using the input device, an additional search term by selecting one of the identified plurality of selectable terms from the first search results displayed on the display device; conducting a second search at the processor using the selected search term to search the first search results; and, displaying on the display device, a plurality of second search results from the second search. | 1. A method of searching an electronic information source with a system having a display device, an input device and a processor, the method comprising: receiving at the processor, first search results of a first search of the electronic information source, the first search results including a plurality of terms that are selected from the electronic information source; analyzing at the processor, each of the plurality of terms in the first search results to identify a plurality of selectable terms amongst the plurality of terms in the first search results that are distinct from a plurality of non-selectable terms amongst the plurality of terms in the first search results, wherein each of the plurality of selectable terms is selectable by a user and each of the plurality of non-selectable terms in the first search results are not selectable by the user; displaying a plurality of the first search results of the first search on the display device, whereby the identified plurality of selectable terms in the first search results are distinguished on the display from the plurality of non-selectable terms in the first search results; enabling the user to choose, using the input device, an additional search term by selecting one of the identified plurality of selectable terms from the first search results displayed on the display device; conducting a second search at the processor using the selected search term to search the first search results; and, displaying on the display device, a plurality of second search results from the second search. 28. The method of claim 1 , further comprising displaying for at least one of the plurality of selectable terms, an approximate number of hits that would be obtained if the at least one selectable term was selected by the user. | 0.705195 |
8,326,646 | 11 | 13 | 11. The computerized system of claim 9 wherein said additional meal suggestion messages are meal substitution messages. | 11. The computerized system of claim 9 wherein said additional meal suggestion messages are meal substitution messages. 13. The computerized system of claim 11 wherein said meal substitution messages comprise suggested substitutions for entire meals in said meal suggestion messages. | 0.959168 |
8,543,649 | 11 | 15 | 11. A system, comprising: a memory; a management server to intercept emails while the emails are being transmitted on a network by a first user and to automatically construct a knowledge profile of the first user based on a plurality of sets of text from the intercepted emails, the management server further to store the knowledge profile in a database in the memory; and an access server to identify, prior to sending a particular email by a second user, one or more suggested potential recipients as meeting one or more criteria in response to preparation of the particular email to be sent by the second user and intended for at least one other user of the network, without reliance upon any user-defined association between the first user and the second user, by at least comparing the knowledge profile of the one or more suggested potential recipients with text contained in the particular email intended for the at least one other user, the access server further to recommend to include at least the first user as a recipient of the particular email to be sent by the second user, the first user meeting the one or more criteria and being one of the one or more suggested potential recipients, without reliance upon any user-defined association between the first user and the second user, the access server further to provide a matching metric indicative of a relative strength of the recommendation for the one or more suggested potential recipients, the matching metric comprises a sum of confidence level values associated with the one or more suggested potential recipients. | 11. A system, comprising: a memory; a management server to intercept emails while the emails are being transmitted on a network by a first user and to automatically construct a knowledge profile of the first user based on a plurality of sets of text from the intercepted emails, the management server further to store the knowledge profile in a database in the memory; and an access server to identify, prior to sending a particular email by a second user, one or more suggested potential recipients as meeting one or more criteria in response to preparation of the particular email to be sent by the second user and intended for at least one other user of the network, without reliance upon any user-defined association between the first user and the second user, by at least comparing the knowledge profile of the one or more suggested potential recipients with text contained in the particular email intended for the at least one other user, the access server further to recommend to include at least the first user as a recipient of the particular email to be sent by the second user, the first user meeting the one or more criteria and being one of the one or more suggested potential recipients, without reliance upon any user-defined association between the first user and the second user, the access server further to provide a matching metric indicative of a relative strength of the recommendation for the one or more suggested potential recipients, the matching metric comprises a sum of confidence level values associated with the one or more suggested potential recipients. 15. The system as recited in claim 11 , wherein one of the emails includes an attached file. | 0.865497 |
9,336,495 | 4 | 5 | 4. The method of claim 1 , wherein the merging comprises merging words of said subset with words of the first query that have a particular similarity to the words of the subset. | 4. The method of claim 1 , wherein the merging comprises merging words of said subset with words of the first query that have a particular similarity to the words of the subset. 5. The method of claim 4 , wherein the particular similarity is a co-occurrence based measure. | 0.969059 |
10,162,315 | 11 | 17 | 11. A process control system, comprising: a typical template generation engine configured to generate a typical component template that defines an implementation of a process control loop function that may be utilized by a plurality of plant equipment devices within a process plant; an adapter template generation engine configured to generate a first and a second adapter component template, the first and the second adapter component templates having one or more configurable logical expressions or one or more configurable logic algorithms; a processor configured to provide a graphical programming interface to allow for modification of the first and the second adapter component templates based on a specific process control operation associated with each of a first and a second plant equipment device, respectively, from among the plurality of plant equipment devices, wherein the modification of the first and the second adapter component templates includes defining the one or more configurable logical expressions or the one or more configurable logic algorithms to specify how the first and the second adapter component templates interact with the typical component template and signals to or from the first and the second plant equipment devices to define for the first and the second plant equipment devices, respectively, the specific process control utilizing the process control loop function defined by the typical component template, wherein the process control loop function includes one or more of: (i) a proportional-integral-derivative control operation, (ii) a proportional-integral control operation, (iii) a start permit control operation, (iv) an alarm control operation, or (v) a native control component operation, and a native control instantiating engine configured to instantiate the typical component template with each of the first and the second adapter component templates, respectively, to generate a first and a second native control component, respectively, wherein the first native control component, when executed by one or more processors associated with one or more process controllers communicatively coupled to one or more host work stations and the plurality of plant equipment devices, performs the specific process control operation for the first plant equipment device utilizing the process control loop function defined by the typical component template in accordance with the modified first adapter component template, and wherein the second native control component, when executed by one or more processors associated with one or more process controllers communicatively coupled to one or more host work stations and the plurality of plant equipment devices, performs the specific process control operation for the second plant equipment device utilizing the process control loop function defined by the typical component template in accordance with the modified second adapter component template. | 11. A process control system, comprising: a typical template generation engine configured to generate a typical component template that defines an implementation of a process control loop function that may be utilized by a plurality of plant equipment devices within a process plant; an adapter template generation engine configured to generate a first and a second adapter component template, the first and the second adapter component templates having one or more configurable logical expressions or one or more configurable logic algorithms; a processor configured to provide a graphical programming interface to allow for modification of the first and the second adapter component templates based on a specific process control operation associated with each of a first and a second plant equipment device, respectively, from among the plurality of plant equipment devices, wherein the modification of the first and the second adapter component templates includes defining the one or more configurable logical expressions or the one or more configurable logic algorithms to specify how the first and the second adapter component templates interact with the typical component template and signals to or from the first and the second plant equipment devices to define for the first and the second plant equipment devices, respectively, the specific process control utilizing the process control loop function defined by the typical component template, wherein the process control loop function includes one or more of: (i) a proportional-integral-derivative control operation, (ii) a proportional-integral control operation, (iii) a start permit control operation, (iv) an alarm control operation, or (v) a native control component operation, and a native control instantiating engine configured to instantiate the typical component template with each of the first and the second adapter component templates, respectively, to generate a first and a second native control component, respectively, wherein the first native control component, when executed by one or more processors associated with one or more process controllers communicatively coupled to one or more host work stations and the plurality of plant equipment devices, performs the specific process control operation for the first plant equipment device utilizing the process control loop function defined by the typical component template in accordance with the modified first adapter component template, and wherein the second native control component, when executed by one or more processors associated with one or more process controllers communicatively coupled to one or more host work stations and the plurality of plant equipment devices, performs the specific process control operation for the second plant equipment device utilizing the process control loop function defined by the typical component template in accordance with the modified second adapter component template. 17. The process control system of claim 11 , wherein the modification of the first and the second adapter component templates further includes (i) specifying signal connections between the first plant equipment device, the first adapter component template, and the typical component template and (ii) specifying signal connections between the second plant equipment device, the second adapter component template, and the typical component template. | 0.704095 |
9,336,306 | 1 | 6 | 1. A method, in a data processing system comprising a processor and a memory, for modifying an ontology for use with a natural language processing (NLP) task, the method comprising: obtaining, by the data processing system, a model of the ontology, wherein the model of the ontology comprises nodes representing concepts of the ontology and edges between nodes representing relationships between associated nodes of the ontology; performing, by the data processing system, a spreading activation operation on the model of the ontology, wherein the spreading activation operation matches a portion of a textual source to a matching node of the model and identifies related nodes to the matching node through edges of the model associated with the matching node to thereby generate an activation network; evaluating, by the data processing system, the activation network with regard to a chosen NLP task to determine a performance metric for the NLP task associated with the nodes of the model; and in response to results of the evaluating indicating that performance of a node does not meet a desired performance for the NLP task, modifying at least one of the model or a configuration of the activation network based on results of the evaluation of the activation network. | 1. A method, in a data processing system comprising a processor and a memory, for modifying an ontology for use with a natural language processing (NLP) task, the method comprising: obtaining, by the data processing system, a model of the ontology, wherein the model of the ontology comprises nodes representing concepts of the ontology and edges between nodes representing relationships between associated nodes of the ontology; performing, by the data processing system, a spreading activation operation on the model of the ontology, wherein the spreading activation operation matches a portion of a textual source to a matching node of the model and identifies related nodes to the matching node through edges of the model associated with the matching node to thereby generate an activation network; evaluating, by the data processing system, the activation network with regard to a chosen NLP task to determine a performance metric for the NLP task associated with the nodes of the model; and in response to results of the evaluating indicating that performance of a node does not meet a desired performance for the NLP task, modifying at least one of the model or a configuration of the activation network based on results of the evaluation of the activation network. 6. The method of claim 1 , wherein evaluating the activation network with regard to the chosen NLP task comprises performing static analysis of a subset of nodes in the model, identified in the activation network, to identify characteristics of the subset of nodes, and wherein modifying at least one of the model or the activation network comprises modifying a starting weight for a spreading activation signal of the spreading activation operation, for a node in the subset of nodes. | 0.578261 |
9,256,683 | 1 | 5 | 1. A computer-implemented method of searching, the method comprising: receiving, by a computing device, an initial portion of a search query; dynamically performing an initial search based on the initial portion of the search query; presenting one or more suggestions for completing the search query and one or more initial search results comprising one or more hyperlinks identified in response to the initial search performed dynamically based on the initial portion of the search query; while presenting the initial portion of the search query, the one or more suggestions, and the one or more initial search results, initiating a continuous receiving of one or more additional portions of the search query to generate a continuously-evolving search query; and dynamically performing one or more subsequent searches in response to receiving the one or more additional portions of the search query and presenting one or more updated suggestions and dynamically updated search results by changing the displayed one or more search results and the displayed one or more suggestions; wherein both the dynamically updated search results and the one or more updated suggestions are dynamically identified as the continuously-evolving search query is evolved on receiving each of the one or more additional portions in the portion of the search query, and wherein the performing the initial search and generating the one or more suggestions are implemented simultaneously. | 1. A computer-implemented method of searching, the method comprising: receiving, by a computing device, an initial portion of a search query; dynamically performing an initial search based on the initial portion of the search query; presenting one or more suggestions for completing the search query and one or more initial search results comprising one or more hyperlinks identified in response to the initial search performed dynamically based on the initial portion of the search query; while presenting the initial portion of the search query, the one or more suggestions, and the one or more initial search results, initiating a continuous receiving of one or more additional portions of the search query to generate a continuously-evolving search query; and dynamically performing one or more subsequent searches in response to receiving the one or more additional portions of the search query and presenting one or more updated suggestions and dynamically updated search results by changing the displayed one or more search results and the displayed one or more suggestions; wherein both the dynamically updated search results and the one or more updated suggestions are dynamically identified as the continuously-evolving search query is evolved on receiving each of the one or more additional portions in the portion of the search query, and wherein the performing the initial search and generating the one or more suggestions are implemented simultaneously. 5. The computer-implemented method of claim 1 , wherein the portion of the search query comprises at least one of a prefix, a regular expression, a suffix, an infix, a pattern, a substring, or a string. | 0.800789 |
9,300,963 | 1 | 6 | 1. A method of deriving a motion vector predictor (MVP) for a motion vector (MV) of a current block in Inter, Merge, or Skip mode, wherein the MVP is selected from MVP candidates comprising one or more spatial MVP candidates associated with one or more neighboring blocks and one or more temporal MVP candidates associated with one or more co-located blocks, the method comprising: determining whether said one or more temporal MVP candidates are disabled according to a flag in a video bitstream, wherein the flag is utilized for selectively disabling use of said one or more temporal MVP candidates for motion vector prediction; deriving the MVP based on said one or more spatial MVP candidates responsive to the flag indicating that said one or more temporal MVP candidates are not to be utilized for motion vector prediction; deriving the MVP based on said one or more spatial MVP candidates and said one or more temporal MVP candidates responsive to the flag indicating that said one or more temporal MVP candidates are to be utilized for motion vector prediction; and providing the MVP for the current block. | 1. A method of deriving a motion vector predictor (MVP) for a motion vector (MV) of a current block in Inter, Merge, or Skip mode, wherein the MVP is selected from MVP candidates comprising one or more spatial MVP candidates associated with one or more neighboring blocks and one or more temporal MVP candidates associated with one or more co-located blocks, the method comprising: determining whether said one or more temporal MVP candidates are disabled according to a flag in a video bitstream, wherein the flag is utilized for selectively disabling use of said one or more temporal MVP candidates for motion vector prediction; deriving the MVP based on said one or more spatial MVP candidates responsive to the flag indicating that said one or more temporal MVP candidates are not to be utilized for motion vector prediction; deriving the MVP based on said one or more spatial MVP candidates and said one or more temporal MVP candidates responsive to the flag indicating that said one or more temporal MVP candidates are to be utilized for motion vector prediction; and providing the MVP for the current block. 6. The method of claim 1 , the flag is in a sequence level, wherein the flag is used to indicate that the temporal MVP candidates are not to be utilized for motion vector prediction for all reference pictures in an entire sequence. | 0.71966 |
7,506,040 | 1 | 5 | 1. A system, comprising: one or more processors; and one or more memory mediums coupled to the one or more processors, wherein the one or more memory mediums store program instructions executable to implement: a storage area network (SAN) management server comprising: a SAN access layer configured to discover a plurality of SAN components coupled to a SAN fabric; wherein the SAN management server is configured to monitor the discovered SAN components coupled to the SAN fabric; and a SAN manager client coupled to said SAN management server, wherein the SAN manager client is configured to provide a centralized user interface for centralized management of the SAN through interaction with the SAN management server, wherein the SAN management server is configured to perform one or more SAN management tasks in response to interactions of said centralized user interface, and wherein said centralized management of the SAN provides management of the discovered plurality of SAN components. | 1. A system, comprising: one or more processors; and one or more memory mediums coupled to the one or more processors, wherein the one or more memory mediums store program instructions executable to implement: a storage area network (SAN) management server comprising: a SAN access layer configured to discover a plurality of SAN components coupled to a SAN fabric; wherein the SAN management server is configured to monitor the discovered SAN components coupled to the SAN fabric; and a SAN manager client coupled to said SAN management server, wherein the SAN manager client is configured to provide a centralized user interface for centralized management of the SAN through interaction with the SAN management server, wherein the SAN management server is configured to perform one or more SAN management tasks in response to interactions of said centralized user interface, and wherein said centralized management of the SAN provides management of the discovered plurality of SAN components. 5. The system as recited in claim 1 , wherein the SAN manager client is configured to provide a reporter mechanism for generating and displaying reports on aspects of the SAN. | 0.856322 |
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